Ming Li, Ruizhi Chen, Xuan Liao and Weilong Zhang, Wuhan University, China

This paper aims to put forward a seamless mosaic method of UAV image for dense urban area, which can effectively avoid seam-line pass through the edge of the building, so as to eliminate the ghosting, dislocation and seam in the image mosaic process. Firstly, the radiation error of UAV image are corrected by Wallis algorithm, and extract the corresponding points from the adjacent images by SIFT algorithm, to correct the left and right pending matching images to the virtual unified reference image, to ensure the images are in the same coordinate system. Then, in view of the shortcomings of the classical Duplaquet method, we proposed a new more robust UAV image mosaic algorithm by changing the energy accumulation criterion of energy function for dynamic programming. Finally, the comparative experiments show that our method can find the optimal seam-line to avoid it through the edge of houses, especially in dense urban area.

UAV Images, Seamless Mosaic, Seam-line, Dynamic Programming, Dense Urban Area