Orthographic Video Map Generation Considering 3D GIS View Matching
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| Izdano u: | ISPRS International Journal of Geo-Information vol. 14, no. 10 (2025), p. 398-420 |
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| Glavni autor: | |
| Daljnji autori: | , , , |
| Izdano: |
MDPI AG
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| Teme: | |
| Online pristup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Zhang, Xingguo |u School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China; mengxaingfei@xynu.edu.cn (X.M.); lxg006@xynu.edu.cn (X.L.); yangsen@xynu.edu.cn (S.Y.) | |
| 245 | 1 | |a Orthographic Video Map Generation Considering 3D GIS View Matching | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Converting tower-mounted videos from perspective to orthographic view is beneficial for their integration with maps and remote sensing images and can provide a clearer and more real-time data source for earth observation. This paper addresses the issue of low geometric accuracy in orthographic video generation by proposing a method that incorporates 3D GIS view matching. Firstly, a geometric alignment model between video frames and 3D GIS views is established through camera parameter mapping. Then, feature point detection and matching algorithms are employed to associate image coordinates with corresponding 3D spatial coordinates. Finally, an orthographic video map is generated based on the color point cloud. The results show that (1) for tower-based video, a 3D GIS constructed from publicly available DEMs and high-resolution remote sensing imagery can meet the spatialization needs of large-scale tower-mounted video data. (2) The feature point matching algorithm based on deep learning effectively achieves accurate matching between video frames and 3D GIS views. (3) Compared with the traditional method, such as the camera parameters method, the orthographic video map generated by this method has advantages in terms of geometric mapping accuracy and visualization effect. In the mountainous area, the RMSE of the control points is reduced from 137.70 m to 7.72 m. In the flat area, it is reduced from 13.52 m to 8.10 m. The proposed method can provide a near-real-time orthographic video map for smart cities, natural resource monitoring, emergency rescue, and other fields. | |
| 653 | |a Image resolution | ||
| 653 | |a Algorithms | ||
| 653 | |a Video recordings | ||
| 653 | |a Calibration | ||
| 653 | |a Cameras | ||
| 653 | |a Natural resources | ||
| 653 | |a Remote sensing | ||
| 653 | |a Mapping | ||
| 653 | |a Mountainous areas | ||
| 653 | |a Maps | ||
| 653 | |a Machine learning | ||
| 653 | |a Mountain regions | ||
| 653 | |a Deep learning | ||
| 653 | |a Orthography | ||
| 653 | |a Geometric accuracy | ||
| 653 | |a Matching | ||
| 653 | |a Frames (data processing) | ||
| 653 | |a Accuracy | ||
| 653 | |a Neural networks | ||
| 653 | |a Towers | ||
| 653 | |a Three dimensional models | ||
| 653 | |a Smart cities | ||
| 653 | |a Video data | ||
| 653 | |a Methods | ||
| 653 | |a Geographic information systems | ||
| 653 | |a Rescue operations | ||
| 653 | |a Surveillance | ||
| 653 | |a Geographical information systems | ||
| 653 | |a Real time | ||
| 653 | |a Parameters | ||
| 700 | 1 | |a Meng Xiangfei |u School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China; mengxaingfei@xynu.edu.cn (X.M.); lxg006@xynu.edu.cn (X.L.); yangsen@xynu.edu.cn (S.Y.) | |
| 700 | 1 | |a Zhang, Li |u School of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China; zhangli0923@xynu.edu.cn | |
| 700 | 1 | |a Ling Xianguo |u School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China; mengxaingfei@xynu.edu.cn (X.M.); lxg006@xynu.edu.cn (X.L.); yangsen@xynu.edu.cn (S.Y.) | |
| 700 | 1 | |a Sen, Yang |u School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China; mengxaingfei@xynu.edu.cn (X.M.); lxg006@xynu.edu.cn (X.L.); yangsen@xynu.edu.cn (S.Y.) | |
| 773 | 0 | |t ISPRS International Journal of Geo-Information |g vol. 14, no. 10 (2025), p. 398-420 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
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