Super-resolution reconstruction for unmanned aerial vehicle video-based on aerial photography locating
ZHANG Yan1, CHEN Jian1, LIU Min1, YU Zongchen2, LI Junjie1, XU Boao1, CHEN Yukun1, WANG Bin3
1. No. 96901 of Chinese People's Liberation Army, Beijing 100091, China;
2. China Construction Bank Fintech, Beijing 100033, China;
3. No. 96795 of Chinese People's Liberation Army, Yinchuan 750021, China
Abstract：Super-resolution reconstruction for unmanned aerial vehicle video based on aerial photography locating (SRRUAVVAPL) is proposed to improve the quality of UAV reconnaissance video. Firstly, feature matching of all the video frames is performed to figure out the relations among the video frames, and feature matching of all the adjacent frames are also performed to figure out the relations among the adjacent frames. Then an unmanned aerial vehicle target locating scheme based on space forward intersection and robust estimation (UAVTLSFIRE) is put forward to realize aerial photography locatiing. Lastly, video frames are improved by high-frequency compensation and POCS iterative optimization, and the reconstructed video is obtained. Experimental results show the proposed method is an effective super-resolution reconstruction for unmanned aerial vehicle video.
2020, Vol. 38 
