An algorithm on extraction of saline-alkalized land by image segmentation based on ETM+Image

Authors:
Li Jianping;Zhang Bai;Zhang Shuqing;Wang Zongming
Affiliations:
Northeast Institute of Geography and Agriculture Ecology, C A S, Changchun, China;Northeast Institute of Geography and Agriculture Ecology, C A S, Changchun, China;Northeast Institute of Geography and Agriculture Ecology, C A S, Changchun, China;Northeast Institute of Geography and Agriculture Ecology, C A S, Changchun, China
Venue:
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Year:
2006

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Abstract

Based on ETM+ remote sensing image, according to geographical distribution and spectral characteristics of saline-alkalized land, especially that of light, and moderate saline-alkalized land, an algorithm of semi-supervised multi-grade mean weighed seed region searching is presented. Experimental results indicate that the algorithm has high operation speed, high segmentation accuracy and certain fault tolerance, and also, to a great extent, over-segmentation problem can be perfectly solved. But because of mixed distribution of sand land and saline-alkalized land, they can not be effectively segmented by the algorithm.