High Resolution SAR Coherence and Optical Fused Images Applied in Land-Use Cover Classification

被引：1

作者：

Ai, Liping ^{[1
]}

Pang, Lei ^{[1
]}

Liu, Hui ^{[1
]}

Sun, Mengxin ^{[1
]}

He, Shuguang ^{[1
]}

机构：

[1] Beijing Univ Civil Engn & Architecture, 1st Exhibit Rd, Beijing 100044, Peoples R China

来源：

GEO-INFORMATICS IN RESOURCE MANAGEMENT AND SUSTAINABLE ECOSYSTEM | 2016年 / 569卷

关键词：

SAR; Coherence image; Image fusion; PCA analysis; Land-use cover classification; SURFACE TEMPERATURE; INSAR DATA; FUSION;

D O I：

10.1007/978-3-662-49155-3_47

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With sensitive to ground scatterers, SAR coherence image can be used for the detection of surface changes and the classification of land-use cover. From a new point of view, this paper synthetically used the change information of high resolution SAR coherence image, and spectral information from optical image, based on the PCA, to obtain the fusion image. And finally land-use and cover classification of the fusion image and test results prove that it is effective and provides a valuable reference.

引用

页码：464 / 470

页数：7

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