A novel real-time matching and pose reconstruction method for low-overlap agricultural UAV images with repetitive textures
发布时间:2025-05-16
点击次数:
- 影响因子:
- 10.6
- DOI码:
- 10.1016/j.isprsjprs.2025.05.009
- 所属单位:
- 武汉大学测绘遥感信息工程全国重点实验室
- 教研室:
- 航空航天摄影测量研究室
- 发表刊物:
- ISPRS Journal of Photogrammetry and Remote Sensing
- 项目来源:
- 国家自然科学金、国际重点研发计划、湖北省自然科学基金
- 摘要:
- Real-time processing of UAV-based agricultural remote sensing images is essential for precision agriculture, especially for low-overlap, large-format image sequence. These images, characterized by large formats, repetitive textures, and low overlap, pose significant challenges for real-time UAV photogrammetry. To address these challenges, this paper proposes a novel real-time matching and pose reconstruction method tailored to low-overlap agricultural UAV imagery. Firstly, an adaptive algorithm for robust map initialization is introduced, dynamically adjusting matching windows and thresholds to ensure successful map initialization in difficult conditions. Secondly, a robust and rapid feature extraction method is developed, integrating global texture information to improve feature repeatability and matching accuracy, especially in weak-textured regions. Thirdly, a multi-model adaptive tracking method is proposed, automatically selecting between four tracking modes to enhance 2D-3D matching point numbers and uniformity, ensuring robust tracking in complex environments. Lastly, a hybrid local–global dual-threading optimization strategy is implemented, combining local graph optimization with global loop closure detection, improving both accuracy and global consistency of pose reconstruction while maintaining high real-time efficiency. Experimental results show that the proposed system is the only one capable of real-time processing of low-overlap large-format UAV images, achieving a processing speed of approximately 3.4 frames per second, this performance is four times faster than the Photoscan (Fast mode) software with a reprojection error of within 1.1 pixels, meeting the real-time UAV photogrammetry requirements for precision agriculture.
- 备注:
- 中科院一区TOP期刊
- 合写作者:
- Gui-Song Xia,Miaozhong Xu,Zhenfeng Shao,Jianya Gong,李德仁
- 第一作者:
- 肖雄武
- 论文类型:
- 期刊论文
- 通讯作者:
- Wenhu Qu
- 学科门类:
- 工学
- 文献类型:
- J
- 卷号:
- 226
- 页面范围:
- 54-75
- 字数:
- 12253
- ISSN号:
- 1872-8235
- 是否译文:
- 否
- 发表时间:
- 2025-05-15
- 收录刊物:
- SCI