关键词: 合成孔径雷达, 纹理差值, 灰度差值, 变化检测, 灾害评估

Abstract:

In order to overcome the problem of the limited application of optical image during bad weather condition, this paper analyzes the sensitivity of SAR image gray features and texture features for the four land cover changes（lake, landslide debris flow, part of collapsed buildings and serious collapsed buildings） which usually happen in the natural disasters, and put forward the concept of sensitive feature vector. Taking sensitive feature vector which is comprehensive utilization of the gray scale difference and texture difference as evaluation factor, a new disaster change detection method of SAR image is carried out, and verifying on two groups of ALOS SAR images prove the better performance than the method only using gray scale difference.

Key words: Synthetic Aperture Radar（SAR）, texture difference, gray difference, change detection, disaster assessment