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遥感学报  2006 

Based on Fusion and GGM Change Detection Approach of Remote Sensing Images
基于融合和广义高斯模型的遥感影像变化检测

Keywords: change detection,gray morphology,GGM,KI approach
变化检测
,灰度形态学,广义高斯分布模型,KI阈值选取

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Abstract:

This paper presents a change detection approach of remote sensing images based on fusion and general Gauss model(GGM).This method constructs difference image by fusing the results of subtraction operation and division operation,then,processes difference image by gray morphology,again,estimates the probability density of change pixels and no-change pixels by GGM,finally,calculates the optimal threshold by the improved KI approach and extracts the changed regions.Experiments show that the method of fusion and GGM is solid and efficacious,which has preferable application value.

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