A single control point may appear in multiple adjacent images because the unmanned aerial vehicle (UAV) images have high overlap degree. In the aerotriangulation work, the extraction of control points on images is a complex work. The original position and orientation system (POS) data can be corrected using the UAV images and control points, and then the corrected data can be applied to the work of points extraction. In this paper, an automatic extraction image points method suitable for large overlap images was put forward, and the accuracy of points extraction was assessed according to different terrain areas. Experimental results show that the method has higher precision in the flat terrain area and can be directly applied to the fast image mosaic, aerotriangulation and other follow-up processes.
鲁恒, 李永树, 何敬. 大重叠度无人机影像自动展绘控制点方法研究[J]. 国土资源遥感, 2011, 23(4): 69-73.
LU Heng, LI Yong-shu, HE Jing. A Study of the Method of Automatic Extraction of Image Points for UAV Imagery with Large Overlap. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 69-73.
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2011, Vol. 23 
