A new method of SAR image segmentation based on fuzzy art

被引：0

作者：

Xue, XR ^{[1
]}

Zhang, YN ^{[1
]}

Zhao, RC ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Xian 710072, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

SAR image; speckle; fuzzy ART neural network; Gray level threshold; image segmentation;

D O I：

10.1109/ICMLC.2003.1259694

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For speckle consisted in SAR image, good segmentation result can't be gotten with traditional methods. In the paper, according to the features of SAR image and the fuzzy ART (Adaptive Resonance Theory)neural network, A new gray level threshold method of SAR image segmentation is proposed, and the method can determine automatically the number of classes and suppress effectively the noise in the given SAR image. With experiments, it is proved that a good segmentation result can be gotten with the new method in the paper, and at the same time, the speckle in the SAR image is also reduced greatly.

引用

页码：1314 / 1317

页数：4

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