Abstract：A method for rapid mosaicking UAV images is introduced, which is based on Voronoi network and GPU parallel computing. Firstly, the radiometric difference between the images is solved by Wallis dodging. Then the seamline network based on Voronoi diagram is created by the locations of all UAV images. At last, the UAV images are ortho-rectified and mosaicked rapidly based on the GPU parallel computing. Experimental results indicate that the method’s efficiency has increased by several times compared with the traditional methods by mosaicking 230 UAV images whose resolution is 0.1 meter. The mere rectification of the valid area of every UAV image and the application of GPU parallel computing not only avoid the huge data redundancy but also greatly reduces the computation time.
李朋龙, 丁忆, 胡艳, 罗鼎, 段松江, 舒文强. 一种基于GPU并行计算的无人机影像快速镶嵌方法[J]. 国土资源遥感, 2017, 29(4): 57-63.
LI Penglong, DING Yi, HU Yan, LUO Ding, DUAN Songjiang, SHU Wenqiang. A method for rapid UAV images mosaicking based on GPU parallel computing. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 57-63.
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2017, Vol. 29 
