SAR image segmentation using kernel based spatial FCM

被引：0

作者：

Zhang, XR

Shan, T

Wang, S

Jiao, LC

机构：

[1] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China

[2] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Peoples R China

来源：

IMAGE ANALYSIS AND RECOGNITION | 2005年 / 3656卷

关键词：

TEXTURE CLASSIFICATION; WAVELET;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The presence of speckle in synthetic aperture radar (SAR) images makes the segmentation of such images difficult. In this paper, a set of energy measures of channels of the undecimated wavelet decomposition is used to represent the texture information of SAR image efficiently. Furthermore, the kernel FCM incorporating spatial constraints, which is characteristic of robustness to noise, is applied to the SAR image segmentation. A synthesized texture image and a Ku-band SAR image are used in experiments and the successful segmentation results show the validation of the method.

引用

页码：48 / 54

页数：7

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