RTO-LLI: Robust Real-Time Image Orientation Method With Rapid Multilevel Matching and Third-Times Optimizations for Low-Overlap Large-Format UAV Images
发布时间：1905-07-17
点击次数：
- DOI码：
- 10.1109/tgrs.2025.3559983
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430072, Peoples R China
- 发表刊物：
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- 项目来源：
- This work was supported in part by the National Natural Science Foundation of China under Grant 4210
- 关键字：
- Real-time systems,Autonomous aerial vehicles,Pose estimation,Photogrammetry,Image sequences,Feature extraction,Accuracy,Optimization,Three-dimensional displays,Simultaneous localization and mapping,High-precision real-time orientation for low-overlap images,multilevel pose optimization,robust real-time matching for low-overlap large-format images,UAV images,unmanned aerial vehicle (UAV) photogrammetry
- 摘要：
- Unmanned aerial vehicle (UAV) real-time photogrammetry is important to promote the rapid generation of photogrammetry 4-D product, intelligent information extraction and rapid remote sensing mapping, and efficient large-scale 3-D modeling. However, for real-time processing of low-overlap large-format image sequence, there remain two challenges: 1) large-format images result in greater data volume and computational load, posing challenges for real-time online processing on regular-performance computing units, requiring more efficient algorithms and 2) low-overlap images make it difficult for ma
- 合写作者：
- Xia, Gui-Song,Shao, Zhenfeng,Gong, Jianya,Li, Deren
- 第一作者：
- Xiao, Xiongwu
- 论文类型：
- 期刊论文
- 通讯作者：
- Xiao, Xiongwu,Zhang, Zihao
- 文献类型：
- Article
- 卷号：
- 63
- ISSN号：
- 0196-2892
- 是否译文：
- 否
- 发表时间：
- 1905-07-17