A NOVEL OVER-SEGMENTATION METHOD FOR POLARIMETRIC SAR IMAGES CLASSIFICATION

被引：10

作者：

He, Chu ^{[1
]}

Deng, Jingbo

Xu, Lianyu ^{[1
]}

Li, Shuang ^{[1
]}

Duan, Mengmeng

Liao, Mingsheng

机构：

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

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

D O I：

10.1109/IGARSS.2012.6351717

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：

This paper, we propose a novel over-segmentation method Feature Geometry Space Fusion (FGSF) for polarimetric SAR (POLSAR) data classification, which uses the polarimetric feature and geometric feature. In order to exam its performance, experiments on the data acquired by AIRSAR show that the over segment regions segmented by FGSF method performs better than mean shift when used for classification.

引用

页码：4299 / 4302

页数：4

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