A Rapid Sub-pixel Corners Detection Method for UAV Image Based on Image Block

doi:10.6046/gtzyyg.2012.04.04

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Abstract A rapid sub-pixel corners detection method based on image block for UAV (unmanned aerial vehicle) image is proposed with the purpose of improving the pixel level precision of corners location and the efficiency in Harris algorithm. With this method, we can screen corners by similar pixels in nearest and diagonal neighborhood direction, carry out Harris corners detection by auto-adaptive threshold based on image block, and then refine the initial corner by traditional Harris algorithm from the Euclidean distance between corners cluster and ideal corner by the least square method with weight. Tests show that the method is effective and practical for UAV image corners detection, and can improve Harris corners detection process speed greatly due to the reduction of the computation and also make corners well distributed.

Keywords change detection high resolution land use image segment object-based class spectral change rule

TP 75

Issue Date: 13 November 2012

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	WANG Yan
	SHU Ning
	GONG Yan
	LI Xue

Cite this article:

WANG Yan,SHU Ning,GONG Yan, et al. A Rapid Sub-pixel Corners Detection Method for UAV Image Based on Image Block[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 21-25.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.04.04 OR https://www.gtzyyg.com/EN/Y2012/V24/I4/21

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