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    Wyświetlanie 1-6 z 6
    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:
    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:
    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:
    Ocean fronts detection over the Bay of Bengal using changepoint algorithms - A non-parametric approach
    Autorzy:
    Reddem, V.S.
    Muthalagu, R.
    Bekkam, V.R.
    Eluri, P.R.R.
    Jampana, V.
    Nimit, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/2078823.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    ocean front
    detection
    satellite image
    change point analysis
    algorithm
    advanced very high resolution radiometer
    Bengal Bay
    Opis:
    Oceanic fronts are regions over the oceans where a significant change in the characteristics of the water masses is observed. Advanced Very High Resolution Radiometer (AVHRR) satellite imagery over the Bay of Bengal shows regions that are populated by frontal structures. Over the Bay of Bengal, some of the strongest gradients in temperature and salinity are observed. In recent years, there has been a tremendous growth in the availability of satellite imagery and the necessity of automated fast detection of the frontal features is needed for services like potential fishing zones over open oceans. In this article, an algorithm to infer oceanic fronts over the Bay of Bengal is described using changepoint analysis. The changepoint algorithm is combined in a novel way with a contextual median filter to detect frontal features in AVHRR imagery. The changepoint analysis is a non-parametric technique that does not put thresholds on the gradients of brightness temperatures of the satellite imagery. In the open oceans, the gradients of temperature and salinity are not sharp and changepoint analysis is found to be a useful complementary technique to the existing front detecting methods when combined with contextual median filters.
    Źródło:
    Oceanologia; 2021, 63, 4; 438-477
    0078-3234
    Pojawia się w:
    Oceanologia
    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:
    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
      Wyświetlanie 1-6 z 6

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