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Wyświetlanie 1-8 z 8
Tytuł:
Accuracy assessment of TanDEM-X IDEM using airborne LiDAR on the area of Poland
Autorzy:
Woroszkiewicz, M.
Ewiak, I.
Lulkowska, P.
Powiązania:
https://bibliotekanauki.pl/articles/145569.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
InSAR
Lidar
DTM
accuracy
statistics
interferometria radarowa
model powierzchniowy
lidar
Opis:
The TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X) mission launched in 2010 is another programme – after the Shuttle Radar Topography Mission (SRTM) in 2000 – that uses space-borne radar interferometry to build a global digital surface model. This article presents the accuracy assessment of the TanDEM-X intermediate Digital Elevation Model (IDEM) provided by the German Aerospace Center (DLR) under the project “Accuracy assessment of a Digital Elevation Model based on TanDEM-X data” for the southwestern territory of Poland. The study area included: open terrain, urban terrain and forested terrain. Based on a set of 17,498 reference points acquired by airborne laser scanning, the mean errors of average heights and standard deviations were calculated for areas with a terrain slope below 2 degrees, between 2 and 6 degrees and above 6 degrees. The absolute accuracy of the IDEM data for the analysed area, expressed as a root mean square error (Total RMSE), was 0.77 m.
Źródło:
Geodesy and Cartography; 2017, 66, 1; 137-148
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective optimization problem in the OptD-multi method
Autorzy:
Błaszczak-Bąk, Wioleta
Sobieraj-Żłobińska, Anna
Kowalik, Michał
Powiązania:
https://bibliotekanauki.pl/articles/221473.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
reduction
OptD method
optimization
LiDAR
Opis:
New measurement technologies, e.g. Light Detection And Ranging (LiDAR), generate very large datasets. In many cases, it is reasonable to reduce the number of measuring points, but in such a way that the datasets after reduction satisfy specific optimization criteria. For this purpose the Optimum Dataset (OptD) method proposed in [1] and [2] can be applied. The OptD method with the use of several optimization criteria is called OptD-multi and it gives several acceptable solutions. The paper presents methods of selecting one best solution based on the assumptions of two selected numerical optimization methods: the weighted sum method and the ε-constraint method. The research was carried out on two measurement datasets from Airborne Laser Scanning (ALS) and Mobile Laser Scanning (MLS). The analysis have shown that it is possible to use numerical optimization methods (often used in construction) to obtain the LiDAR data. Both methods gave different results, they are determined by initially adopted assumptions and – in relation to early made findings, these results can be used instead of the original dataset for various studies.
Źródło:
Metrology and Measurement Systems; 2019, 26, 2; 253-266
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of modal control for automobile cruise control
Zastosowanie sterowania modalnego do sterowania jazdą samochodu
Autorzy:
Zbrutsky, A. V.
Kaveshgar, M.
Powiązania:
https://bibliotekanauki.pl/articles/140166.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
skaning laserowy
LIDAR
laser
sterowanie
sterowanie modalne
Light Detection and Ranging
lidar
control
modal control
Opis:
A complete system of a Laser Radar is described in this paper. One explains the principles of the laser and all additional devices used in this system in order to obtain a compact and eye-safe system. The principle and realization of algorithms for controlling the cruise and speed of the vehicle are described. By applying modal control, and choosing the optimal mode for reducing the speed, one derives the system equation and determines its coefficients. Finally, the paper presents simulations of the laser scanning system, the modal control system and the behavior of the system affected by different errors and disturbances. The effects of instrumental errors are defined and simulation is performed illustrating how such a control system is influenced by internal and external disturbances.
W artykule opisano kompletny system radaru laserowego. Wyjaśniono zasady działania lasera i wszystkich dodatkowych elementów zastosowanych po to, by uzyskać system o małych rozmiarach i bezpieczny dla wzroku. Opisano zasadę i realizację algorytmów sterowania przebiegiem i prędkością pojazdu. Stosując sterowanie modalne i wybierając optymalny sposób redukcji prędkości wyprowadzono układ równań i wyznaczono ich współczynniki. W końcowej części zaprezentowano symulację laserowego systemu skanowania, systemu sterowania modalnego i działania systemu w obecności błędów i zakłóceń. Zdefiniowano skutki błędów aparaturowych i przeprowadzono symulację ilustrującą wpływ wewnętrznych i zewnętrznych zakłóceń na działanie takiego systemu.
Źródło:
Archive of Mechanical Engineering; 2011, LVIII, 1; 115-126
0004-0738
Pojawia się w:
Archive of Mechanical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The properties of terrestrial laser system intensity in measurements of technical conditions of architectural structures
Autorzy:
Suchocki, C.
Jagoda, M.
Obuchovski, R.
Šlikas, D.
Sužiedelytė-Visockienė, J.
Powiązania:
https://bibliotekanauki.pl/articles/221139.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
TLS
LIDAR
MSE method
intensity
damage of structures
Opis:
Terrestrial laser scanning (TLS) is one of the instruments for remote detection of damage of structures (cavities, cracks) which is successfully used to assess technical conditions of building objects. Most of the point clouds analysis from TLS relies only on spatial information (3D–XYZ). This study presents an approach based on using the intensity value as an additional element of information in diagnosing technical conditions of architectural structures. The research has been carried out in laboratory and field conditions. Its results show that the coefficient of laser beam reflectance in TLS can be used as a supplementary source of information to improve detection of defects in constructional objects.
Źródło:
Metrology and Measurement Systems; 2018, 25, 4; 779-792
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR
Autorzy:
Fang, Zhiyuan
Yang, Hao
Li, Cheng
Cheng, Liangliang
Zhao, Ming
Xie, Chenbo
Powiązania:
https://bibliotekanauki.pl/articles/2073773.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
PM2.5
LiDAR
machine learning
air pollution monitoring
Opis:
The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest (RF) method was the most effective in predicting ground-level PM2.5 concentrations. Compared with BP neural network, support vector machine (SVM), and various linear fitting methods, the accuracy of the RF method was superior by 10%. The method can describe the spatial and temporal variation in PM2.5 concentrations under different meteorological conditions, with low root mean square error (RMSE) and mean square deviation (MD), and the consistency index (IA) reached 99.69%. Under different weather conditions, the hourly variation in PM2.5 concentrations has a good descriptive ability. In this paper, we analyzed the weights of input variables in the RF method, constructed a pollution case to correspond to the relationship between input variables and PM2.5, and analyzed the sources of pollutants via HYSPLIT backward trajectory. This method can study the interaction between PM2.5 and air pollution variables, and provide new ideas for preventing and forecasting air pollution.
Źródło:
Archives of Environmental Protection; 2021, 47, 3; 98--107
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated airborne LiDAR-based assessment of timber measurements for forest management
Autorzy:
Zaremba, M. B.
Doyon, F.
Senécal, J. F.
Powiązania:
https://bibliotekanauki.pl/articles/407435.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
forest mensuration
lidar
remote sensing
terrain modeling
tree crown
timber volume modeling
white pine
Opis:
This paper presents processing and analysis techniques to apply LiDAR data to estimate tree diameter at breast height (DBH) - a critical variable applied in a large number of forest management tasks. Our analysis focuses on the estimation of DBH using only LiDAR-derived tree height and tree crown dimensions, i.e., variables accessible from aerial observations. The modeling process was performed using 161 white and red pine trees from four 3850 m2 plots in the Foret de l'Aigle located in southwestern Quebec. Segments of the LiDAR data extracted for DBH estimation were obtained using the Individual Tree Crown (ITC) delineation method. Regression models were investigated using height as well as crown dimensions, which increased the precision of the model. This study demonstrates that DBH can be modeled to acceptable accuracy using altimetry data and automated data processing procedures and then be used in high-precision timber volume assessment.
Źródło:
Management and Production Engineering Review; 2012, 3, 3; 79-85
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural networks for the generation of sea bed models using airborne lidar bathymetry data
Autorzy:
Kogut, T.
Niemeyer, J.
Bujakiewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/145519.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
interpolacja
sieci neuronowe
triangulacja Delaunay
airborne lidar bathymetry
interpolation
neural networks
inverse distance weighting
Delaunay triangulation
Opis:
Various sectors of the economy such as transport and renewable energy have shown great interest in sea bed models. The required measurements are usually carried out by ship-based echo sounding, but this method is quite expensive. A relatively new alternative is data obtained by airborne lidar bathymetry. This study investigates the accuracy of these data, which was obtained in the context of the project ‘Investigation on the use of airborne laser bathymetry in hydrographic surveying’. A comparison to multi-beam echo sounding data shows only small differences in the depths values of the data sets. The IHO requirements of the total horizontal and vertical uncertainty for laser data are met. The second goal of this paper is to compare three spatial interpolation methods, namely Inverse Distance Weighting (IDW), Delaunay Triangulation (TIN), and supervised Artificial Neural Networks (ANN), for the generation of sea bed models. The focus of our investigation is on the amount of required sampling points. This is analyzed by manually reducing the data sets. We found that the three techniques have a similar performance almost independently of the amount of sampling data in our test area. However, ANN are more stable when using a very small subset of points.
Źródło:
Geodesy and Cartography; 2016, 65, 1; 41-53
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Results of integrated geoarchaeological prospection of unique Iron Age hillfort located on Radomno Lake island in north-eastern Poland
Autorzy:
Welc, Fabian
Nitychoruk, Jerzy
Solecki, Rafał
Rabiega, Kamil
Wysocki, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/2025235.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
LiDAR/ALS
GIS
geophysical methods
archaeology
Iron Age hillforts
forested areas
north-eastern Poland
Warmia and Masuria regions
Opis:
Archaeology of north-eastern Poland has been poorly recognized owing to vast forest areas and numerous lakes. This particularly refers to the Warmian–Masurian Voivodship, where forest covers over 30% of its area. Prospection of forested areas has become possible in Poland just over 10 years ago with the Airborne Laser Scanning (ALS) and Light Detection and Ranging (LiDAR). These techniques allow obtaining 3-D documentation of recognized and also unknown archaeological sites in the forested areas. Thanks to ALS/LiDAR prospection a significant number of archaeological structures have been identified also in the Warmia and Masuria regions. Among them oval-shaped hillforts, surrounded by perfectly spaced concentric moats and ramparts, located mainly on islands and in wetland areas, have raised particular attention. Based on field prospection and results of preliminary excavations, these objects have been considered as Iron Age hillforts. One of the best preserved objects of this type is on the Radomno Lake island, located several kilometres to the south of Iława town. Integrated geoarchaeological prospection of this hillfort emphasized benefits of using LiDAR in combination with results of geophysical prospection and shallow drillings. Applied methodology enabled to document the hillfort shape, and to study its geological structure and stratigraphy. The results clearly indicate that integration of LiDAR data with geophysical prospecting is indispensable in future archaeological surveys. It is a perfect tool for remote sensing of archaeological objects in forest areas, so far not available for traditional archaeology.
Źródło:
Studia Quaternaria; 2018, 35; 55-71
1641-5558
2300-0384
Pojawia się w:
Studia Quaternaria
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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