Concerning that the increasement of accumulated error causes serious distortion of Unmanned Aerial Vehicle (UAV) remote sensing images stitching, a projection error correction algorithm based on space intersection was proposed, Using space intersection theory, the spatial coordinates of 3D points were calculated according to correspondence points. Then all 3D points were orthographic projected onto the same space plane, and the orthographic points were projected onto the image plane to get corrected correspondence points, Finally, M-estimator Sample Consensus (MSAC) algorithm was used to estimate the homography matrix, then the stitching image was obtained. The simulation results show that this algorithm can effectively eliminate the projection error, thus achieve the purpose of inhibiting UAV remote sensing image stitching error.
李鹏俊, 李建增, 宋瑶, 张岩, 杜玉龙. 基于仿真的无人机遥感图像拼接误差分析[J]. 计算机应用, 2015, 35(4): 1116-1119.
LI Pengjun, LI Jianzeng, SONG Yao, ZHANG Yan, DU Yulong. Error analysis of unmanned aerial vehicle remote sensing images stitching based on simulation. Journal of Computer Applications, 2015, 35(4): 1116-1119.
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