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结合纹理信息的高分辨率遥感图像变化检测方法

王东广 肖鹏峰 宋晓群 王铁成 陈刚

国土资源遥感Issue(4):76-81,6.
国土资源遥感Issue(4):76-81,6.DOI:10.6046/gtzyyg.2012.04.13

结合纹理信息的高分辨率遥感图像变化检测方法

Change Detection Method for High Resolution Remote Sensing Image in Association with Textural and Spectral Information

王东广 1肖鹏峰 1宋晓群 2王铁成 3陈刚1

作者信息

  • 1. 南京大学地理信息科学系,南京210093
  • 2. 江苏省国土资源信息中心,南京 210029
  • 3. 江苏省测绘工程院,南京210013
  • 折叠

摘要

Abstract

High resolution remote sensing image can provide a lot of spectral and textural information, and both of the two kinds of information can help effectively detect the changed information. However,the traditional methods of change - detection based on medium or low spatial resolution remote sensing images only use the spectral information to extract the changed information, with the ignorance of the textural information. In this paper,both the spectral and textural features are integrated in one change - detection method to extract the changed information from high resolution remote sensing image,and the method is called difference principal component transformation. The advantages of the proposed method can be concluded in two aspects. One is that it will be easy to get the internal changed details in the large changed areas according to textural information, which can compensate for the deficiency of spectral information in high resolution images. The other is that some post - processing procedures such as connecting narrow gaps and filling holes can make the change - detection result more complete. The experimental results show that some changes that are spectrally similar but texturally different can be effectively detected after adding textural information in this change - detection method.

关键词

变化检测/高分辨率遥感图像/纹理信息/差值主成分变换

Key words

change detection/ high resolution remote sensing image/ textural information/ difference principal component transformation

分类

信息技术与安全科学

引用本文复制引用

王东广,肖鹏峰,宋晓群,王铁成,陈刚..结合纹理信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2012,(4):76-81,6.

基金项目

国土资源部公益性行业科研专项(编号:201011015-1)资助. (编号:201011015-1)

国土资源遥感

OA北大核心CSCDCSTPCD

2097-034X

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