Assessment of DSM based on radiometric transformation of UAV data
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...
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| Format: | Article |
| Language: | English |
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MDPI
2021
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| Online Access: | http://eprints.utm.my/95757/1/MuhammadHamid2021_AssessmentofDSMBasedonRadiometric.pdf |
| _version_ | 1796866086134611968 |
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| author | Chaudhry, Muhammad Hamid Ahmad, Anuar Gulzar, Qudsia Farid, Muhammad Shahid Shahabi, Himan Al-Ansari, Nadhir |
| author_facet | Chaudhry, Muhammad Hamid Ahmad, Anuar Gulzar, Qudsia Farid, Muhammad Shahid Shahabi, Himan Al-Ansari, Nadhir |
| author_sort | Chaudhry, Muhammad Hamid |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:06:54Z |
| format | Article |
| id | utm.eprints-95757 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:06:54Z |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-957572022-05-31T13:18:47Z http://eprints.utm.my/95757/ Assessment of DSM based on radiometric transformation of UAV data Chaudhry, Muhammad Hamid Ahmad, Anuar Gulzar, Qudsia Farid, Muhammad Shahid Shahabi, Himan Al-Ansari, Nadhir G Geography (General) TA Engineering (General). Civil engineering (General) 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. MDPI 2021-03-01 Article PeerReviewed application/pdf en http://eprints.utm.my/95757/1/MuhammadHamid2021_AssessmentofDSMBasedonRadiometric.pdf Chaudhry, Muhammad Hamid and Ahmad, Anuar and Gulzar, Qudsia and Farid, Muhammad Shahid and Shahabi, Himan and Al-Ansari, Nadhir (2021) Assessment of DSM based on radiometric transformation of UAV data. Sensors, 21 (5). pp. 1-18. ISSN 1424-8220 http://dx.doi.org/10.3390/s21051649 DOI:10.3390/s21051649 |
| spellingShingle | G Geography (General) TA Engineering (General). Civil engineering (General) Chaudhry, Muhammad Hamid Ahmad, Anuar Gulzar, Qudsia Farid, Muhammad Shahid Shahabi, Himan Al-Ansari, Nadhir Assessment of DSM based on radiometric transformation of UAV data |
| title | Assessment of DSM based on radiometric transformation of UAV data |
| title_full | Assessment of DSM based on radiometric transformation of UAV data |
| title_fullStr | Assessment of DSM based on radiometric transformation of UAV data |
| title_full_unstemmed | Assessment of DSM based on radiometric transformation of UAV data |
| title_short | Assessment of DSM based on radiometric transformation of UAV data |
| title_sort | assessment of dsm based on radiometric transformation of uav data |
| topic | G Geography (General) TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/95757/1/MuhammadHamid2021_AssessmentofDSMBasedonRadiometric.pdf |
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