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Assessment of DSM B...
Assessment of DSM Based on Radiometric Transformation of UAV Data
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- Chaudhry, Muhammad Hamid (author)
- Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia. Centre of GIS, University of the Punjab, Lahore 54590, Pakistan
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- Ahmad, Anuar (author)
- Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
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- Gulzar, Qudsia (author)
- Centre of GIS, University of the Punjab, Lahore 54590, Pakistan
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- Farid, Muhammad Shahid (author)
- Punjab University College of Information Technology, University of the Punjab, Lahore 54590, Pakistan
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- Shahabi, Himan (author)
- Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran.Department of Zrebar Lake Environmental Research, Kurdistan Studies Institute, University of Kurdistan, Sanandaj 66177-15175, Iran
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- Al-Ansari, Nadhir, 1947- (author)
- Luleå tekniska universitet,Geoteknologi
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Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia Centre of GIS, University of the Punjab, Lahore 54590, Pakistan Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia (creator_code:org_t)
- 2021-02-27
- 2021
- English.
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In: Sensors. - Switzerland : MDPI. - 1424-8220. ; 21:5
- Related links:
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https://doi.org/10.3...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Unmanned Aerial Vehicle (UAV) is one of the latest technologies for high spatial resolution 3D modeling of the Earth. The objectives of this study are to assess low-cost UAV data using image radiometric transformation techniques and investigate its effects on global and local accuracy of the Digital Surface Model (DSM). This research uses UAV Light Detection and Ranging (LIDAR) data from 80 meters and UAV Drone data from 300 and 500 meters flying height. RAW UAV images acquired from 500 meters flying height are radiometrically transformed in Matrix Laboratory (MATLAB). UAV images from 300 meters flying height are processed for the generation of 3D point cloud and DSM in Pix4D Mapper. UAV LIDAR data are used for the acquisition of Ground Control Points (GCP) and accuracy assessment of UAV Image data products. Accuracy of enhanced DSM with DSM generated from 300 meters flight height were analyzed for point cloud number, density and distribution. Root Mean Square Error (RMSE) value of Z is enhanced from ±2.15 meters to 0.11 meters. For local accuracy assessment of DSM, four different types of land covers are statistically compared with UAV LIDAR resulting in compatibility of enhancement technique with UAV LIDAR accuracy.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Geotechnical Engineering (hsv//eng)
Keyword
- RAW image
- UAV image transformation
- UAV drone
- point cloud
- tie points
- UAV LIDAR
- Soil Mechanics
- Geoteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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