A method for rapid UAV images mosaicking based on GPU parallel computing

doi:10.6046/gtzyyg.2017.04.10

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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.

Keywords GF-1 data time series NDVI sandy lands application potential

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Issue Date: 04 December 2017

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	DING Xiangyuan
	GAO Zhihai
	SUN Bin
	WU Junjun
	XUE Chuanping
	WANG Yan

Cite this article:

DING Xiangyuan,GAO Zhihai,SUN Bin, et al. A method for rapid UAV images mosaicking based on GPU parallel computing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 57-63.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.10 OR https://www.gtzyyg.com/EN/Y2017/V29/I4/57

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