Method for estimating building heights via registering catadioptric omnidirectional image and remote sensing image
WANG Yuan-yuan1,2,CHEN Wang1,ZHANG Mao-jun1,WANG Wei1,XU Wei1
1. College of Information System and Management, National University of Defense Technology, Changsha Hunan 410073, China 2. Department of Basic Courses, Artillery Academy of PLA, Hefei Anhui 230031, China
Abstract:A method was proposed for estimating building heights via registering catadioptric omni-directional image and remote sensing image, which can be applied to large-scale 3D city reconstruction. Firstly, the top edges of building roof were extracted from the catadioptric omni-directional image by using omnidirectional Hough transform. Then the catadioptric omni-directional image and the remote sensing image were registered based on the extracted top edges where the angle consistency nature of horizontal lines in catadioptric omni-directional imaging was used as evidence. Finally, according to the model of catadioptric omnidirectional camera, the building heights were estimated by using the registration results. The proposed method is simple and easy to implement. The experimental results show that the method is effective and the error of estimated building height is fairly small.