ATTRIBUTED SCATTERING CENTER FEATURE EXTRACTION OF HIGH RESOLUTION SAR IMAGE AND CLASSIFICATION ALGORITHM

被引：1

作者：

Zhang, Yu ^{[1
]}

He, Chu ^{[1
]}

Xu, Xin ^{[1
]}

Liao, Mingsheng

机构：

[1] Wuhan Univ, Sch Elect Informat, Wuhan 430079, Peoples R China

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Attributed Scattering Center; feature extraction; classification; KNN;

D O I：

10.1109/IGARSS.2014.6946462

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new Attributed Scattering Center(ASC) feature extraction model is proposed. Together with normalization procedure, optimization of amplitude and the length of scattering center feature extraction, we can get a fine estimation of ASC parameter. The image reconstruction experiment demonstrates that with fewer scattering center can we get a satisfied description of SAR image. Moreover, we also do classifaication experiments on TerraSAR-X data base, the result demonstrate that KNN classification method with ASC feature can obtain a better result than GLGM and GMRF. In this way the usage of ACS is exterded.

引用

页数：4