A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection
发布时间：2025-01-07 点击次数：
DOI码：10.1016/j.isprsjprs.2019.11.016
所属单位：School of Remote Sensing and Information Engineering, Wuhan University, China
发表刊物：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
关键字：Oblique photogrammetry,Panorama image,Projection transformation,3D reconstruction
摘要：Oblique photogrammetry is an emerging technology in unmanned aerial vehicle (UAV)-based low-altitude remote sensing, and oblique digital cameras are widely used for data acquisition. Moreover, panoramic cameras are becoming popular with their capacities of comprehensive range of imaging compared with original oblique cameras, a spherical panorama can be transformed to several perspective images which are similar to normal oblique images. In this paper, a UAV-based panoramic oblique photogrammetry (POP) approach is proposed to achieve georeferenced panoramic images and real 3D models together by using panorama image projection algorithms. First, a HAV-based panoramic imaging system with six fish-eye cameras is presented to obtain multiangle and large-field-of-view images to generate two-dimensional (2D) spherical panorama images. Second, two panorama image projection models from a 2D panorama to perspectives are proposed to regenerate small distortion images toward different directions as traditional oblique photogrammetry images. Third, aerial triangulation, dense matching and three-dimensional (3D) modeling are presented with these small distortion images to achieve panoramic oblique photogrammetry processing. Two real scenes in the city of Wuhan are taken to verify the feasibility and precision of the proposed approach. Experimental results show that the panoramic oblique photogrammetry for 3D modeling can achieve cm-level accuracy. The proposed approach can obtain aerial panoramas and georeferenced 3D models together, which can be an effective method for virtual geography environment visualization.
合写作者： Jiayuan,Li, Datian,Hu, Mingyao,Ai, Qingwu, Pengcheng,Zhao, Xujie,Zhang
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：159
页面范围：198-219
ISSN号：0924-2716
是否译文：否
CN号：WOS:000508739800016
发表时间：2020-01-01
