Road edge detection from remote sensing image based on improved Sobel operator

doi:10.6046/gtzyyg.2016.03.02

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Abstract

Extracting road edge from remote sensing image can extremely simplify the land survey workload for planning traffic networks. Because of the direction and size limitations of the template, the edge detection result derived by traditional algorithms shows high rate of false positive points and discontinuity, which is the reason why traditional edge detection algorithms can seldom achieve an ideal result in detecting continuous and integral road edge. To deal with this problem, this study proposes an improved Sobel operator which is based on an 8 directional 5×5 template. The optimal settings of each direction in the template are derived by the Pascal's triangle theory. The improved operator not only achieves a better performance of edge detection in different directions but reduces the false positive point effectively as well. In comparison with other operators, the improved Sobel operator proposed by this study has better integrity and continuity in road edge extraction results, especially in road curve detection.

Keywords remote sensing geological interpretation prospecting prediction WorldView-2 East Kunlun Hongshui River

TP79

Issue Date: 01 July 2016

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	ZHANG Wei
	JIN Moushun
	ZHANG Shaopeng
	CHEN Ling
	ZHONG Chang
	DONG Lina

Cite this article:

ZHANG Wei,JIN Moushun,ZHANG Shaopeng, et al. Road edge detection from remote sensing image based on improved Sobel operator[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 7-11.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.03.02 OR https://www.gtzyyg.com/EN/Y2016/V28/I3/7

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