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Tytuł:
Change Detection for SAR Imagery Using Connected Components Analysis
Autorzy:
Gromek, A.
Jenerowicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/227323.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
change detection
TSX
SAR image analysis
remote sensing
Opis:
Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 2; 111-116
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coastline change-detection method using remote sensing satellite observation data
Autorzy:
Markiewicz, Ł.
Mazurek, P.
Chybicki, A.
Powiązania:
https://bibliotekanauki.pl/articles/331592.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
coastal monitoring
SAR
Sentinel
Landsat
background subtraction
image processing
Opis:
Coastal zones are not only the fundaments for local economics based on trade, shipping and transport services, but also a source of food, energy, and resources. Apart from offering diverse opportunities for recreation and tourism, coastal zones provide protection against storms and other meteorological disturbances. Environmental information is also essential because of the direct influence on a country’s maritime zones, which are territorial sea and exclusive economic zones. Keeping local communities and ecosystems healthy requires monitoring and assessing of all the vital changes of territorial sea and its baseline. The paper presents a method and a concept of a system that provides an efficient means of automatic analysis of spatial data provided by satellite observation systems (optical Landsat 8 and SAR Sentinel 1) in order to monitor, and detect, changes in the coastline. The proposed methodology is based on a set of algorithms that enable one to trace and detect changes in coastline shape, and eventual damage to marine infrastructure, such as breakwaters and harbours, relying on high resolution satellite observational products.
Źródło:
Hydroacoustics; 2016, 19; 277-284
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unmanned Aerial Vehicles for Three‑dimensional Mapping and Change Detection Analysis
Autorzy:
Gbopa, Adetola Olufunmilayo
Ayodele, Emmanuel Gbenga
Okolie, Chukwuma John
Ajayi, Akinwumi Olaitan
Iheaturu, Chima Jude
Powiązania:
https://bibliotekanauki.pl/articles/1838008.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
UAV technology
3D mapping
orthophoto
land cover
change detection analysis
Opis:
Unmanned Aerial Vehicles (UAVs), commonly known as drones are increasingly being used for three dimensional (3D) mapping of the environment. This study utilised UAV technology to produce a revised 3D map of the University of Lagos as well as land cover change detection analysis. A DJI Phantom 4 UAV was used to collect digital images at a flying height of 90 m, and 75% fore and 65% side overlaps. Ground control points (GCPs) for orthophoto rectification were coordinated with a Trimble R8 Global Navigation Satellite System. Pix4D Mapper was used to produce a digital terrain model and an orthophoto at a ground sampling distance of 4.36 cm. The change detection analysis, using the 2015 base map as reference, revealed a significant change in the land cover such as an increase of 16,306.7 m2 in buildings between 2015 and 2019. The root mean square error analysis performed using 7 GCPs showed a horizontal and vertical accuracy of 0.183 m and 0.157 m respectively. This suggests a high level of accuracy, which is adequate for 3D mapping and change detection analysis at a sustainable cost.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 1; 41-61
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatyczna detekcja zmian urbanistycznych na zdjęciach lotniczych
Automatic urban change detection in aerial images
Autorzy:
Jelonek, J.
Wyczałek, I.
Powiązania:
https://bibliotekanauki.pl/articles/131137.pdf
Data publikacji:
2006
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
eksploracja zdjęcia lotniczego
detekcja zmian zabudowy
SIP
exploration of aerial image
building change detection
GIS
Opis:
Obrazy lotnicze lub satelitarne odgrywają coraz większą rolę podczas kontroli i aktualizacji baz danych miejskich systemów informacji. Podejmuje się próby wykorzystywania informacji bazodanowej jako inicjalnych danych uczących dla modułu rozpoznawania obiektów. Zestawienie rastrowego obrazu lotniczego z danymi wektorowymi pozwala zintegrować informację semantyczną dotyczącą określonych obiektów pokrycia terenu z odpowiednimi podobszarami obrazu rastrowego. Dzięki takiemu podejściu gromadzenie danych uczących jest w dużej mierze zautomatyzowane i tym samym znacznie przyspiesza stosowane procedury fotointerpretacyjne. Zaproponowana tu metodologia została zastosowana do analizy zmian zabudowy terenu. Ustalono, że monitorowanie powinno uwzględniać zarówno powstawanie nowych obiektów budowlanych jak i usuwanie starych. Procedura eksploracyjna ma charakter interaktywny, w którym system wskazuje operatorowi miejsca podejrzane o możliwość wystąpienia zmiany, zaś operator dokonuje ostatecznej weryfikacji wyboru i ręcznie wektoryzuje obiekty zakwalifikowane do zmiany. Do przetestowania przedstawionego tu podejścia, wykorzystano zdjęcie lotnicze obejmujące peryferia miasta Nekla wraz z przylegającym obszarem rolniczym. Opracowano algorytm obejmujący wczytanie wybranej informacji z bazy systemu Geo-Info, wygenerowanie modelu wektorowego dla aktualnego stanu zabudowy, przetworzenie ortofotomapy pod kątem wykrywania krawędzi oraz porównanie wyników z modelem wektorowym (algorytmy dylatacji i erozji). Efektem jest zbiór wskazań miejsc, gdzie mogło nastąpić wyburzenie budynku lub powstanie nowego. Omawiana procedura może działać w ramach programu Geo-Info, co znacznie ułatwia wybór obiektów do aktualizacji bazy.
In order to keep urban spatial databases up-to-date, it is necessary to inspect permanent changes to the environment and input new data into the system. Monitoring urban databases is increasingly conducted by analysis of aerial or satellite images. However, digital information can also be used as learning data for object recognition procedures. Comparison of raster aerial photographs with vector data makes it possible to integrate semantic information about the object’s land cover with corresponding sub areas of the image. Thanks to this, it is possible to automatize the collection of learning data, which greatly increases the speed of used interpretation procedures. The methodology described here was developed for building change detection. It was stated that monitoring should include the detection of both new and removed buildings. The procedure is interactive: the system shows places where new buildings may be in the image or where buildings existing in the database are not present, and the user can make a decision about the nature of the change and digitize a new object if necessary, and add any necessary descriptive information. The solution was implemented in the Polish Geo-Info spatial information system. The orthophotomap of the part of the city of Nekla with surrounding agricultural areas was used for building change detection, and the corresponding database information was used as well. The algorithm includes: - reading necessary information from the database to define places under existing buildings, - color image conversion into grayscale form, - use a Sobel operator to extract perpendicular edges, - image binarization using heuristically defined threshold values, - extraction of places differing from vector data, - indicating each place subsequently on the screen. The procedure works independently or within the Geo-Info system. The former approach uses imported vector data and has its own GUI, and the latter works as an internal procedure making it possible to update the existing database.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2006, 16; 249-257
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Land cover change detection in northwestern Vietnam using Landsat images and Google Earth Engine
Autorzy:
Nguyen, Luong B.
Powiązania:
https://bibliotekanauki.pl/articles/293048.pdf
Data publikacji:
2020
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
cloud-based platform
deforestation
land cover classification
satellite images
Opis:
Recently, Google Earth Engine (GEE) provides a new way to effectively classify land cover utilizing available in-built classifiers. However, there have a few studies on the applications of the GEE so far. Therefore, the goal of this study is to explore the capacity of the GEE platform in terms of land cover classification in Dien Bien Province of Vietnam. Land cover classification in the year of 2003 and 2010 were performed using multiple-temporal Landsat images. Two algorithms – GMO Max Entropy and Classification and Regression Tree (CART) integrated into the Google Earth Engine (GEE) platform – were applied for this classification. The results indicated that the CART algorithm performed better in terms of mapping land use. The overall accuracy of this algorithm in the year of 2003 and 2010 were 80.0% and 81.6%, respectively. Significant changes between 2003 and 2010 were found as an increase in barren land and a reduction in forest land. This is likely due to the slash-and-burn agricultural practice of ethnic minorities in the province. Barren land seems to occur more at locations near water sources, reflecting the local people’s unsuitable farming practice. This study may provide use-ful information in land cover change in Dien Bien Province, as well as analysis mechanisms of this change, supporting environmental and natural resource management for the local authorities.
Źródło:
Journal of Water and Land Development; 2020, 46; 162-169
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-line signal change detection for image segmentation with application in the ceramic tile industry
Autorzy:
Sušac, Filip
Matić, Tomislav
Aleksi, Ivan
Keser, Tomislav
Powiązania:
https://bibliotekanauki.pl/articles/2173520.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
segmentation
edge detection
biscuit tile
image processing
visual inspection
ceramic industry
segmentacja
wykrywanie krawędzi
przetwarzanie obrazu
oględziny
przemysł ceramiczny
Opis:
In the ceramic industry, quality control is performed using visual inspection in three different product stages: green, biscuit, and the final ceramic tile. To develop a real-time computer visual inspection system, the necessary step is successful tile segmentation from its background. In this paper, a new statistical multi-line signal change detection (MLSCD) segmentation method based on signal change detection (SCD) method is presented. Through experimental results on seven different ceramic tile image sets, MLSCD performance is analyzed and compared with the SCD method. Finally, recommended parameters are proposed for optimal performance of the MLSCD method.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137121, 1--11
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-line signal change detection for image segmentation with application in the ceramic tile industry
Autorzy:
Sušac, Filip
Matić, Tomislav
Aleksi, Ivan
Keser, Tomislav
Powiązania:
https://bibliotekanauki.pl/articles/2173620.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
segmentation
edge detection
biscuit tile
image processing
visual inspection
ceramic industry
segmentacja
wykrywanie krawędzi
przetwarzanie obrazu
oględziny
przemysł ceramiczny
Opis:
In the ceramic industry, quality control is performed using visual inspection in three different product stages: green, biscuit, and the final ceramic tile. To develop a real-time computer visual inspection system, the necessary step is successful tile segmentation from its background. In this paper, a new statistical multi-line signal change detection (MLSCD) segmentation method based on signal change detection (SCD) method is presented. Through experimental results on seven different ceramic tile image sets, MLSCD performance is analyzed and compared with the SCD method. Finally, recommended parameters are proposed for optimal performance of the MLSCD method.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137121
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance of Unsupervised Change Detection Method Based on PSO and K-means Clustering for SAR Images
Autorzy:
Shehab, Jinan N.
Abdulkadhim, Hussein A.
Powiązania:
https://bibliotekanauki.pl/articles/1844494.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
change detection
k-means clustering
multitemporal satellite image
PSO
Gabor wavelet filter
remote sensing
Opis:
This paper presents unsupervised change detection method to produce more accurate change map from imbalanced SAR images for the same land cover. This method is based on PSO algorithm for image segmentation to layers which classify by Gabor Wavelet filter and then K-means clustering to generate new change map. Tests are confirming the effectiveness and efficiency by comparison obtained results with the results of the other methods. Integration of PSO with Gabor filter and k-means will providing more and more accuracy to detect a least changing in objects and terrain of SAR image, as well as reduce the processing time.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 3; 403-408
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Random projections and Hotelling’s T2 statistics for change detection in high-dimensional data streams
Autorzy:
Skubalska-Rafajłowicz, E.
Powiązania:
https://bibliotekanauki.pl/articles/331099.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
change detection
multidimensional control charts
dimensionality reduction
random projections
process monitoring
wykrywanie zmian
karta kontrolna
redukcja wymiarowości
monitorowanie procesu
Opis:
The method of change (or anomaly) detection in high-dimensional discrete-time processes using a multivariate Hotelling chart is presented. We use normal random projections as a method of dimensionality reduction. We indicate diagnostic properties of the Hotelling control chart applied to data projected onto a random subspace of Rn. We examine the random projection method using artificial noisy image sequences as examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2013, 23, 2; 447-461
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The comparison of usage of satellite SAR and optical data in the process of urban growth monitoring
Autorzy:
Opido, P.
Leśniak, A.
Powiązania:
https://bibliotekanauki.pl/articles/184401.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
change detection
biomass
map
Opis:
The aim of this project was to monitor the temporal growth of the urban areas, on the example of the Krakow city (Poland). In recent years more frequent use of satellite data in environmental monitoring can be observed. Definitely the optical data are the most popular type of it. This kind of data are commonly used in many applications like land cover change detection, biomass study and in the map preparation process. Despite their many advantages they are very sensitive on the weather conditions. Thus they cannot be gathered in cloudy or rainy day. This case doesn’t occur when the satellite SAR (Synthetic Aperture Radar) system are used. The ability of SAR and optical systems in monitoring the temporal growth of the urban areas were presented in the past (Al Rawashdeh & Saleh 2006, Opido & Leśniak 2015). In these projects SAR and optical satellite systems were compared. The study presented here was performed on fifty archival SAR and optical images acquired between years 1992 and 2010. The images were grouped into five two-year time intervals. Each interval contains data stack of eight SAR and 2 Landsat images. For each group the analysis of land cover was performed. Each optical image was classified into three following classes: water, urban and green areas. The study of the SAR data was based on the analysis of coherent scatterers (Porzycka-Strzelczyk & Strzelczyk 2015). The most commonly used methods of coherent scatterer’s identification were tested: dispersion of amplitude, Log-Cumulant (Nicolas et al. 2004), Signal-to-cluter ratio (Ulander et al. 2010) and coherency method (Touzi 1999). The growth of the urban area was calculated by studying changes in the numbers of coherent scatterers on the SAR images. For the Landsat images changes in the area of the urban class were analyzed. Furthermore, regions of most and least intensive urban growth were detected. The next step of the project is to compare the presented results with those provided by new ESA (European Space Agency) satellites. Sentinel-1 provides SAR images with a much better spatial resolution than ERS-1, ERS-2 and Envisat satellites. Sentinel-2 has better spatial resolution and more spectral bands than Landsat-8 (Masek 2015). This will allow to achieve more precise maps of coherent scatterers.
Źródło:
Geology, Geophysics and Environment; 2016, 42, 1; 107-108
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wieloczasowe dane obrazowe w badaniu zmian pokrycia terenu
Multi-temporal data for land cover change detection
Autorzy:
Michałowska, K.
Głowienka-Mikrut, E.
Powiązania:
https://bibliotekanauki.pl/articles/130038.pdf
Data publikacji:
2010
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
wieloczasowe obrazy satelitarne
klasyfikacja nadzorowana
SPN
zmiany pokrycia terenu
multitemporal satellite image
supervised classification
analysis of changes
Opis:
W badaniach wykorzystane zostały wieloczasowe zdjęcia satelitarne z lat 1979, 2000 i 2007 dla obszaru Słowińskiego Parku Narodowego charakteryzującego się dużą dynamiką zmian krajobrazu. Bazując na wynikach klasyfikacji nadzorowanej dla trzech roczników zdjęć satelitarnych obszaru Parku przeprowadzono badanie zmian pokrycia terenu i określono wielkość oraz kierunek przekształceń dla poszczególnych klas. Na podstawie map pokrycia terenu wykonano analizę korelacji krzyżowej w programie IDRISI. Wykonano również ilościową analizę zmian powierzchni poszczególnych klas pokrycia terenu w danym przedziale czasowym. Obliczone wielkości (pikselowe) zmian w zakresie poszczególnych form pokrycia dla obszarów w granicach Parku pozwoliły na utworzenie map przedstawiających tereny, które w okresie 1979÷2000 oraz 1979÷2007 uległy przekształceniu oraz map terenów „stałych”. W ramach badań przeprowadzona została ilościowa i jakościowa analiza stopnia i kierunku przekształceń poszczególnych elementów krajobrazu Parku w badanych okresach. W rezultacie określono procentowy poziom zmian dla danych form pokrycia terenu SPN z uwzględnieniem przejścia jednej kategorii w inną. Prace finansowane w ramach badań statutowych AGH nr 11.11.150.949.
The research employed multitemporal satellite photos from 1979, 2000, and 2007 of the area of the Słowiński National Park, which is marked by its high dynamics of landscape changes. Based on the results of a supervised classification concerning three annual volumes of satellite images of the Park area, a research of the area coverage changes has been conducted, and the size of changes and direction of transformations for particular classes were determined. Using land cover maps, an analysis of cross correlation in IDRISI software was conducted, as well as a quantitative analysis of surface area changes of particular land coverage classes in certain time intervals. The calculated (pixel) volumes of changes in particular land coverage forms for the areas within the Park limits made it possible to create maps showing those areas, which in 1979÷2000 and in 1979÷2007 were subjected to transformations, as well as maps of "constant" areas. The scope of the research included a quantitative and qualitative analysis of the degree and direction of transformations of particular Park landscape elements in the examined time periods. As a result, percentage level of the changes for the area coverage forms of the Park were determined, allowing for transformations of one category into another.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2010, 21; 281-289
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geospatial Applicationsin Land Use/Land Cover Change Detection for Sustainable Regional Development:The Case of Central Haryana, India
Autorzy:
Kumar, Surender
Singh, Ripudaman
Powiązania:
https://bibliotekanauki.pl/articles/1838027.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
geospatial
India
land use
land cover
RS-GIS
sustainable regional development
thematic change
Opis:
Timely and accurate detection of land use/land cover (LULC) change is important for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975–2020 for pre and post monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised classification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built up, water body, and agricultural land without waterlogging in the pre and post monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fallow land/sand dunes decreased during the same period. Increased human activities have changed the LULC in the region and have had a great impact on its sustainable regional development.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 3; 81-98
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie transformacji IR-MAD w detekcji zmian na zdjęciach satelitarnych
Application of IR-MAD transformation to change detection on satellite images
Autorzy:
Aleksandrowicz, S.
Lewiński, S.
Kotarba, A.
Powiązania:
https://bibliotekanauki.pl/articles/129666.pdf
Data publikacji:
2012
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
detekcja zmian
MAD
IR-MAD
change detection
Opis:
W drugiej połowie lat dziewięćdziesiątych została opublikowana metoda analizy MAD (Multivariate Alteration Detection) służąca do wykrywania różnic występujących w wielowymiarowych zbiorach danych. Opracowano ją specjalnie dla celów detekcji zmian na podstawie zdjęć wielospektralnych i hiperspektralnych zarejestrowanych w różnym czasie. W ramach programu SATChMo/Geoland2 w Centrum Badań Kosmicznych rozpoznano możliwości zastosowania transformacji IR-MAD do detekcji zmian podstawowych form pokrycia terenu na zdjęciach satelitarnych wysokiej rozdzielczości. Prezentowana praca została wykonana na podstawie pary zdjęć KOMPSAT-2 obrazującej tereny północnej Hiszpanii w roku 2008 i 2010. Zaproponowany algorytm postępowania analizuje wyniki transformacji IR-MAD oraz dodatkowo informacje o pokrywie roślinnej i teksturze. Transformacja IR-MAD wykonywana jest na podstawie czterech kanałów spektralnych B, G, R i IR o rozdzielczości 4m, zdjęcia z pierwszego i drugiego terminu. Informacje uszczegóławiające możliwość zmian pokrywy roślinnej są pozyskiwane na podstawie wskaźników NDVI, natomiast źródłem informacji o teksturze są przetworzone za pomocą filtrów Sigma kanały panchromatyczne o rozdzielczości 1 m. Przyjęto założenia rozpoznawania zmian w pokryciu terenu, które nie są wynikiem naturalnych cykli fenologicznych. Najpierw identyfikowane są miejsca występowania zmian, następnie istnieje możliwość uzyskania informacji o ich charakterze.
In the second half of the 1990s, MAD (Multivariate Alteration Detection) method designed for detecting differences in multidimensional datasets was published. It was developed specifically for change detection performed on the basis of multispectral and hyperspectral images collected at different times. Within the framework of the European program SATChMo/Geoland2, the Space Research Centre of Polish Academy of Sciences has recognized the possibility of applying the IR-MAD transformation to detect changes of the main form of land cover on high resolution satellite images. Presented work was performed on the basis of a pair of KOMPSAT-2 images presenting area of Northern Spain in 2008 and 2010. The proposed algorithm analyses the results of the IR-MAD transformation and also additional information about vegetation cover and texture. Transformation of IR-MAD is performed on the basis of four spectral channels; B, G, R and IR with a resolution of 4 m, of the images from the first and second term. Additional information concerning a possibility of appearing changes in vegetation are derived on the basis of NDVI index and texture layer produced by Sigma filters of panchromatic channel of 1m resolution. An assumption was made for classified changes of land cover, which are independent of natural phenological cycles. First, places of changes are located and next information of their nature (direction of changes) is obtained.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2012, 23; 11-17
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tracing cluster transitions for different cluster types
Autorzy:
Ntoutsi, I.
Spiliopoulou, M.
Theodoridis, Y.
Powiązania:
https://bibliotekanauki.pl/articles/970818.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
dynamic environments
change detection
cluster-type-specific indicators
Opis:
Clustering algorithms detect groups of similar population members, like customers, news or genes. In many clustering applications the observed population evolves and changes over time, subject to internal and external factors. Detecting and understanding changes is important for decision support. In this work, we present the MONIC+ framework for cluster-type-specific transition modeling and detection. MONIC+ encompasses a typification of clusters and cluster-type-specific transition indicators, by exploiting cluster topology and cluster statistics for the transition detection process. Our experiments on both synthetic and real datasets demonstrate the usefulness and applicability of our framework.
Źródło:
Control and Cybernetics; 2009, 38, 1; 239-259
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Land use and land cover change detection using remote geospatial techniques: a case study of an urban city in southwestern, Nigeria
Autorzy:
Olayungbo, A.A.
Powiązania:
https://bibliotekanauki.pl/articles/2080937.pdf
Data publikacji:
2021
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
land use
land cover
change detection
landsat images
supervised classification
Nigeria
Opis:
Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decrease of about 1.71 million ha of forest cover between 1995 to 2020, indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018, with a view to providing adequate information on the pattern and trend of land use and land cover changes for proper monitoring and effective planning. The study utilized satellite images from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use and land cover is a result of anthropogenic activities in the study area.
Źródło:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego; 2021, 21[36], 2; 4-14
2081-6960
Pojawia się w:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detekcja zmian pokrycia terenu na zdjęciach satelitarnych Landsat - porównanie trzech metod
Land cover change detection using Landsat imagery - comparison of three methods
Autorzy:
Niedzielko, J.
Lewiński, S.
Powiązania:
https://bibliotekanauki.pl/articles/132345.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
pokrycie terenu
wykrywanie zmian
Landsat
różnica obrazów
klasyfikacja nadzorowana
analiza głównych składowych
land cover
change detection
image difference
supervised classification
principal components analysis
Opis:
Environmental changes are amongst the most important research subjects in geography. The changes may be natural, but also may be caused by human activity. Land cover is a significant component of the changing environment. Monitoring of its changes involves usage of satellite techniques. Landsat mission provides comparable data since forty years, very useful in land cover studies. Utilization of satellite techniques in such researches is developing quickly. This paper is an example of methods that enable quick and quite accurate assessment of range and spatial distribution of land cover changes. Practical application of image difference, principal component analysis and supervised classification to detect land cover changes is presented. Methods are applied to study area containing different land cover classes. Accuracy of methods was tested and compared. Combining methods presented in earlier researches, five new methods were developed: image difference, image difference with classification, classification, principal component analysis, principal component analysis with classification. Methods were applied to three different input datasets: pairs of images with different level of preprocessing. First dataset was a pair of georeferenced Landsat Thematic Mapper images. The second dataset was the same pair of images, atmospherically corrected using dark object subtraction method. Normalization of one image to the other provided the third dataset. Accuracy assessment was executed. Results were obtained from confusion matrices. Overall accuracy of methods was high, from 77% to 91%. Supervised classification was the most accurate method. Combining fully automatic methods with supervised classification has increased overall accuracy of automatic change detection, however not significantly. Studies on combining change detection methods should be continued. Future studies should concentrate on the automation of change detection process.
Źródło:
Teledetekcja Środowiska; 2012, 47; 87-98
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Land Cover Change Detection in Oddusuddan DS Division of Mullaitivu District in Sri Lanka Based on GIS and RS Technology
Autorzy:
Pathmanandakumar, V.
Powiązania:
https://bibliotekanauki.pl/articles/1031751.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Change Matrix
Change detection
Geographical Information System & Remote Sensing
Land covers Mapping
Satellite Image Analysis
Opis:
Land cover change analysis between 1997 and 2016 was conducted in Oddusuddan Divisional Secretariat, Mullaitivu District, using remote sensing and geographic information system incorporated with field verifications. Various Satellite images and different digital maps have been used for extracting information. The overall objective of this study was to detect the magnitude of land cover change in Oddusuddan between 1997 and 2016. The methodology of this study was a change detection analysis of satellite imagery with Landsat ETM data. Two dates of Landsat image data of the 1997 and 2016 were used to produce a land cover map. The Maximum Likelihood algorithm was used for supervised classification to detect changes for twenty years. The result showed that during the last twenty years, the forest cover declined from 453.02 km2 in 1997 to 447.14 km2 in 2016. It was noticed that socio-economic factors were the major driving forces for the land cover change.
Źródło:
World News of Natural Sciences; 2020, 29, 3; 198-211
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GNSS positioning error change-point detection in GNSS Positioning Performance Modelling
Autorzy:
Filić, M.
Filjar, R.
Powiązania:
https://bibliotekanauki.pl/articles/117469.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Global Navigation Satellite System (GNSS)
positioning
Navigation and Timing (PNT)
GNSS Positioning Performance Modelling
GNSS Positioning Error Change-point Detection
GNSS Positioning Performance
GNSS Resilience
GNSS Utilisation Risk Mitigation
GNSS Positioning Performance Degradation
Opis:
Provision of uninterrupted and robust Positioning, Navigation, and Timing (PNT) services is essential task of Global Navigation Satellite Systems (GNSS) as an enabling technology for numerous technology and socio-economic applications, a cornerstone of the modern civilisation, a public goods, and an essential component of a national infrastructure. GNSS resilience may be accomplished only with complete understanding of the causes of GNSS positioning performance disruptions and degradations, presented in a form of applications- and scenarios-related models. Here the application of change-point detection methods is proposed and demonstrated in a selected scenario of a fast-developing ionospheric storm’s impact on GNSS positioning performance, as a novel contribution to forecasting GNSS positioning performance model development and GNSS utilisation risk mitigation.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 575-579
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image change detection as a supplement for adaptive cruise control with stop&go functionality
Wykrywanie zmiany obrazu jako uzupełnienie systemu tempomatu adaptacyjnego z funkcją stop&go
Autorzy:
Komoda, J.
Dybała, J.
Powiązania:
https://bibliotekanauki.pl/articles/327730.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
tempomat adaptacyjny
analiza sekwencji obrazów
rozpoznanie zmian
przetwarzanie obrazów
adaptive cruise control
image sequence analysis
change detection
image processing
Opis:
The theme of the project was to develop algorithms for image sequence analysis, allowing for improved functionality of adaptive cruise control equipped with Stop & Go function. Using Doppler radar could cause that on the small distances the object that crosses the path of the vehicle may not be detected. This is particularly important because of the Stop & Go function that allows the host vehicle to stop when preceding vehicle stops, and start automatically when the preceding vehicle pulls away. In such a situation collision with an undetected object located between the vehicles can occur. The requirement was to propose such algorithms that will work in real time and ensure compatibility with the existing system architecture.
Tematem projektu było opracowanie algorytmów analizy sekwencji obrazów pozwalających na polepszenie funkcjonalności tempomatu adaptacyjnego wyposażonego w funkcję stop&go. Wykorzystanie dalekosiężnego radaru Dopplera może spowodować, że na małych odległościach nie zostanie wykryty obiekt przecinający trasę pojazdu. Ma to szczególne znaczenie ze względu na funkcję stop&go, która pozwala na zatrzymanie pojazdu, gdy pojazd poprzedzający się zatrzyma, oraz automatyczne ruszenie, gdy pojazd poprzedzający odjedzie. W takiej sytuacji może dojść do kolizji z niewykrytym obiektem znajdującym się pomiędzy pojazdami. Wymaganiem było zaproponowanie takich algorytmów, które pozwolą na pracę w czasie rzeczywistym oraz zapewnią kompatybilność z dotychczas wykorzystywaną architekturą sprzętu.
Źródło:
Diagnostyka; 2010, 4(56); 43-47
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Historical and projected land-use / land cover changes of the Welmel River Watershed, Genale Dawa Basin, Ethiopia
Autorzy:
Ayalew, Solomon E.
Nigussie, Tewodros A.
Powiązania:
https://bibliotekanauki.pl/articles/27312636.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
CA-Markov chain model
change detection
land use/land cover
LULC
Welmel Watershed
Opis:
Human activities on land have grown significantly changing the entire landscape, while most of the changes have occurred in the tropics. The change has become a serious environmental concern at the local, regional and global scales. The intensity, speed, and degree of land use / land cover (LULC) changes are nowadays quicker compared to the past because of the development of society. Moreover, the rapid increase in population resulted in disturbing a large number of landscapes on the Earth. The main objective of this study was to detect historical (1990-2020) and predicted (2020-2050) LULC changes in the Welmel River Watershed, which is located in the Genale-Dawa Basin, South Eastern Ethiopia. The dataset of 1990, 2005, and 2020 was generated from Landsat 5, Landsat 7 and Landsat 8 respectively to determine the historical LULC map. The result of this study revealed that agriculture/ settlement increased by 6.85 km2 ∙y-1, while forestland declined by 9.16 km2 ∙y-1 over the last 31 years between 1990 and 2020. In the coming 31 years (by 2050), if the existing trend of the LULC change continues, agriculture/settlement land is expected to increase from 290.64 km2 in 2020 to 492.51 km 2 in 2050 at the rate of 6.73 km2 ∙y-1, while forestland is expected to shrink from 690.48 km2 in 2020 to 427.01 km2 in 2050 by a rate of 8.78 km2 ∙y-1.
Źródło:
Journal of Water and Land Development; 2023, 58; 89--98
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multidimensional GIS for satellite imagery analysis
Autorzy:
Drypczewski, K.
Markiewicz, Ł.
Stepnowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/332659.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
Multidimensional GIS
Raster Data Manager
RASDAMAN
SENTINEL-1
SAR
Coastal Monitoring
coast change detection
Opis:
Multidimensional Geographical Information System allows storing, querying and processing of multidimensional query data. It is able to process satellite imagery and provide tools for its analysis. In the article authors present the developed system that analyzes a time series of SENTINEL - 1 mission satellite imagery acquired over the coast of Poland. The algorithm used finds and detects changes in the shape of the coastline over a long period of time. The system uses a Raster Data Manager array database management system to simplify the process of data querying, trimming, storing and analysing. Authors present how the recent trends in GIS development, like RASDAMAN, can be applied to satellite imagery processing.
Źródło:
Hydroacoustics; 2017, 20; 41-50
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Building Change Detection from Multitemporal Airborne Lidar Data Based on Morphology and Histogram
Wykrywanie zmian zabudowy na podstawie lotniczego skaningu laserowego z wykorzystaniem filtrów morfologicznych i analizy histogramu
Autorzy:
Piskorski, R.
Czernomysa, E.
Powiązania:
https://bibliotekanauki.pl/articles/385899.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
lotniczy skaning laserowy
operatory morfologiczne
histogram
wykrywanie zmian zabudowy
airborne laser scanning (ALS)
morphological operators
building change detection
Opis:
W publikacji przedstawiono przegląd metod wykorzystujących wieloczasowe dane ALS do celów detekcji zmian w obrębie zabudowy. Opierając się na stosowanych rozwiązaniach, zaproponowano dwuetapową metodę polegającą na zastosowaniu filtrów morfologicznych oraz analizie histogramu. Zaproponowana metoda została przetestowana na siedmiu obszarach o różnych typach zabudowy. Operatory morfologiczne zostały wykorzystane w celu detekcji stanu zabudowy w badanych okresach (2006 i 2012). Na podstawie algebry (odejmowanie) uzyskanych map otrzymano wyniki prezentujące miejsca zmian. Po wyeliminowaniu artefaktów zaprezentowano analizę dokładności świadczącej o poprawności wykrywania zabudowy i detekcji miejsc zmian. W celu bardziej dokładnego scharakteryzowania zachodzących zmian wykorzystano histogramy powstałe z wykorzystaniem danych wysokościowych. Na ich podstawie wnioskowano na temat rodzaju zmian, jakie zaszły na danym obszarze.
This publication provides an overview of methods that use multitemporal ALS data for the purpose of detecting changes in the building. Based on the proposed two-step solutions applied method based on the use of morphological filters and the analysis of the histogram. The proposed method has been tested on seven areas with different types of buildings. Morphological operators are used to detect the state of buildings in the studied period (2006 and 2012). On the basis of the substitution obtained maps, it obtained results showing the locations of the changes. After eliminating artifacts, presents an analysis of the accuracy characterized correctness building detection and detection of changes. In order to more precisely characterize the changes which are occurred, uses histograms created based on the elevation data. On the basis of their requested on the type of changes that have taken place in the area.
Źródło:
Geomatics and Environmental Engineering; 2015, 9, 3; 69-85
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Presenting a technique for registering images and range data using a topological representation of a path within an environment
Autorzy:
Ferreira, F.
Davim, L.
Rocha, R.
Dias, J.
Santos, V.
Powiązania:
https://bibliotekanauki.pl/articles/385035.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
sensor feature integration
binary data
Bernoulli mixture model
dimensionality reduction
robot localisation
change detection
Opis:
This article presents a novel method to the utilize topological representation of a path, thatpath that is created from sequences of images from digital cameras and sensor data from range sensors. A topological representation of the environment is created by leading the robot around the environment during a familiarisation phaseLeading the robot around the environment during a familiarisation phase creates a topological representation of the environment. While moving down the same path, the robot is able to localise itself within the topological representation that is has been previously created. The principal contribution to the state of the art is that, by using a topological representation of the environment, individual 3D data sets acquired from a set of range sensors need not be registered in a single, [Global] Coordinate Reference System. Instead, 3D point clouds for small sections of the environment are indexed to a sequence of multi-sensor views, of images and range data. Such a registration procedure can be useful in the construction of 3D representations of large environments and in the detection of changes that might occur within these environments.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 3; 47-56
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria
Autorzy:
Aliyu, Yahaya A
Youngu, Terwase T.
Abubakar, Aliyu Z.
Bala, Adamu
Jesulowo, Christianah I.
Powiązania:
https://bibliotekanauki.pl/articles/1444929.pdf
Data publikacji:
2020
Wydawca:
Politechnika Warszawska. Wydział Geodezji i Kartografii
Tematy:
LULC
change detection
Landsat
Cellular Automata Markov model
Nigeria
wykrywanie zmian
program Landsat
model Markowa
automaty komórkowe
Opis:
For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure, a developing tropical rainforest city in south-west Nigeria. A differentiated trend of urban LULC was determined over a period covering 1999–2019. The study showed the net change for bare land, built-up area, cultivated land, forest cover and grassland over the two decades to be -292.68 km2, +325.79 km2, +88.65 km2, +8.62 km2 and -131.38 km2, respectively. With a projected population increase of about 46.85%, the study identified that the built-up land cover increased from 1.98% to 48.61%. The change detection analysis revealed an upsurge in built area class. The expansion indicated a significant inverse correlation with the bare land class (50.97% to 8.66%) and grassland class (36.33% to 17.94%) over the study period. The study observed that the land consumption rate (in hectares) steadily increased by 0.00505, 0.00362 and 0.0687, in the year 1999, 2009 and 2019, respectively. This rate of increase is higher than studies conducted in more populated cities. The Cellular Automata (CA) Markovian analysis predicted a 37.92% growth of the study area will be the built-up area in the next two decades (2039). The 20-year prediction for Akure built-up area is within range when compared to CA Markov prediction for other cities across the globe. The findings of this study will guide future planning for rational LULC
Źródło:
Reports on Geodesy and Geoinformatics; 2020, 110; 29-38
2391-8365
2391-8152
Pojawia się w:
Reports on Geodesy and Geoinformatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Active fault diagnosis based on stochastic tests
Autorzy:
Poulsen, N. K.
Niemann, H.
Powiązania:
https://bibliotekanauki.pl/articles/929899.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
diagnostyka uszkodzeń
wykrywanie zmian
obwód zamknięty
parametryzacja
active fault diagnosis
parametric faults
stochastic change detection
closed loop systems
parametrization
Opis:
The focus of this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 487-496
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
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