The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement
The altimetric accuracy of aerial laser scanning (ALS) data is one of the most important issues of ALS data processing. In this paper, the authors present a previously unknown, yet simple and efficient method for altimetric enhancement of ALS data based on the concept of lidargrammetry. The generall...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/24/6391 |
| _version_ | 1797455437880098816 |
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| author | Antoni Rzonca Mariusz Twardowski |
| author_facet | Antoni Rzonca Mariusz Twardowski |
| author_sort | Antoni Rzonca |
| collection | DOAJ |
| description | The altimetric accuracy of aerial laser scanning (ALS) data is one of the most important issues of ALS data processing. In this paper, the authors present a previously unknown, yet simple and efficient method for altimetric enhancement of ALS data based on the concept of lidargrammetry. The generally known photogrammetric theory of stereo model deformations caused by relative orientation parameters errors of stereopair was applied for the continuous correction of lidar data based on ground control points. The preliminary findings suggest that the method is correct, efficient and precise, whilst the correction of the point cloud is continuous. The theory of the method and its implementation within the research software are presented in the text. Several tests were performed on synthetic and real data. The most significant results are presented and discussed in the article together with a discussion of the potential of lidargrammetry, and the main directions of future research are also mapped out. These results confirm that the research gap in the area of altimetric enhancement of ALS data without additional trajectory data is resolved in this study. |
| first_indexed | 2024-03-09T15:53:27Z |
| format | Article |
| id | doaj.art-4dcefa0483e144a298192f9a164adb35 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T15:53:27Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4dcefa0483e144a298192f9a164adb352023-11-24T17:48:57ZengMDPI AGRemote Sensing2072-42922022-12-011424639110.3390/rs14246391The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data EnhancementAntoni Rzonca0Mariusz Twardowski1Department of Photogrammetry, Remote Sensing and Spatial Engineering, The Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, PolandDepartment of Photogrammetry, Remote Sensing and Spatial Engineering, The Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, PolandThe altimetric accuracy of aerial laser scanning (ALS) data is one of the most important issues of ALS data processing. In this paper, the authors present a previously unknown, yet simple and efficient method for altimetric enhancement of ALS data based on the concept of lidargrammetry. The generally known photogrammetric theory of stereo model deformations caused by relative orientation parameters errors of stereopair was applied for the continuous correction of lidar data based on ground control points. The preliminary findings suggest that the method is correct, efficient and precise, whilst the correction of the point cloud is continuous. The theory of the method and its implementation within the research software are presented in the text. Several tests were performed on synthetic and real data. The most significant results are presented and discussed in the article together with a discussion of the potential of lidargrammetry, and the main directions of future research are also mapped out. These results confirm that the research gap in the area of altimetric enhancement of ALS data without additional trajectory data is resolved in this study.https://www.mdpi.com/2072-4292/14/24/6391UAV-ALS datadata enhancementlidargrammetryaltimetric correction |
| spellingShingle | Antoni Rzonca Mariusz Twardowski The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement Remote Sensing UAV-ALS data data enhancement lidargrammetry altimetric correction |
| title | The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement |
| title_full | The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement |
| title_fullStr | The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement |
| title_full_unstemmed | The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement |
| title_short | The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement |
| title_sort | lidargrammetric model deformation method for altimetric uav als data enhancement |
| topic | UAV-ALS data data enhancement lidargrammetry altimetric correction |
| url | https://www.mdpi.com/2072-4292/14/24/6391 |
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