Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification
The horizontal positioning error in spaceborne photon point clouds seriously constrains their elevation accuracy. To improve data quality for enhanced performance in scientific applications, this study proposes a photon correction method based on terrain feature identification, specifically for the...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10715570/ |
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| author | Cheng Wu Qifan Yu Shaoning Li Anmin Fu Mengguang Liao Lelin Li |
| author_facet | Cheng Wu Qifan Yu Shaoning Li Anmin Fu Mengguang Liao Lelin Li |
| author_sort | Cheng Wu |
| collection | DOAJ |
| description | The horizontal positioning error in spaceborne photon point clouds seriously constrains their elevation accuracy. To improve data quality for enhanced performance in scientific applications, this study proposes a photon correction method based on terrain feature identification, specifically for the photon-counting spaceborne lidar. Unlike the conventional terrain matching method, this approach accurately determines the horizontal positions of photons within a small-range area by establishing a matching relationship between the laser elevation turning points and the surface boundary lines. The feasibility of this method was verified using the satellite laser altimetry simulation platform, and the horizontal correction accuracy can reach within 0.6 m. Subsequently, the experiments were conducted to verify the geometric positioning accuracy of ICESat-2 across different areas, leveraging high-precision digital surface models. The results indicate that the average horizontal accuracy of ICESat-2 was 3.81 m, and the elevation accuracy was better than 0.5 m. |
| format | Article |
| id | doaj-art-1c7ebe002e60447aae3f3b45e95b3fc4 |
| institution | OA Journals |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-1c7ebe002e60447aae3f3b45e95b3fc42025-08-20T02:05:28ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352024-01-0117194081941910.1109/JSTARS.2024.347931510715570Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature IdentificationCheng Wu0Qifan Yu1Shaoning Li2https://orcid.org/0000-0001-7002-9480Anmin Fu3Mengguang Liao4Lelin Li5National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaNational-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaNational-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaAcademy of Inventory and Planning, National Forestry and Grassland Administration, Beijing, ChinaNational-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaNational-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaThe horizontal positioning error in spaceborne photon point clouds seriously constrains their elevation accuracy. To improve data quality for enhanced performance in scientific applications, this study proposes a photon correction method based on terrain feature identification, specifically for the photon-counting spaceborne lidar. Unlike the conventional terrain matching method, this approach accurately determines the horizontal positions of photons within a small-range area by establishing a matching relationship between the laser elevation turning points and the surface boundary lines. The feasibility of this method was verified using the satellite laser altimetry simulation platform, and the horizontal correction accuracy can reach within 0.6 m. Subsequently, the experiments were conducted to verify the geometric positioning accuracy of ICESat-2 across different areas, leveraging high-precision digital surface models. The results indicate that the average horizontal accuracy of ICESat-2 was 3.81 m, and the elevation accuracy was better than 0.5 m.https://ieeexplore.ieee.org/document/10715570/Elevation accuracyhorizontal accuracyICESat-2laser altimeterphoton-countingterrain feature identification |
| spellingShingle | Cheng Wu Qifan Yu Shaoning Li Anmin Fu Mengguang Liao Lelin Li Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Elevation accuracy horizontal accuracy ICESat-2 laser altimeter photon-counting terrain feature identification |
| title | Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification |
| title_full | Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification |
| title_fullStr | Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification |
| title_full_unstemmed | Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification |
| title_short | Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification |
| title_sort | geometric positioning verification of spaceborne photon counting lidar data based on terrain feature identification |
| topic | Elevation accuracy horizontal accuracy ICESat-2 laser altimeter photon-counting terrain feature identification |
| url | https://ieeexplore.ieee.org/document/10715570/ |
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