A new method of SAR image segmentation based on fuzzy ART

Author

Xue, Xiao-rong ; Yan-ning Zhang ; Zhao, Rongchun

Author_Institution

Northwestern Polytech. Univ., Xi´´an, China

Volume

3

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

1314

Abstract

For speckle consisted in SAR image, good segmentation result can´t be obtained 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 obtained with this new method in the paper, and at the same time, the speckle in the SAR image is also reduced greatly.

Keywords

ART neural nets; Rayleigh channels; fuzzy neural nets; image segmentation; speckle; synthetic aperture radar; Rayleigh distribution; SAR image segmentation; adaptive resonance theory; fuzzy ART neural network; image gray level threshold; speckle; synthetic aperture radar; Adaptive systems; Artificial neural networks; Computer vision; Fuzzy neural networks; Image segmentation; Neural networks; Noise level; Resonance; Speckle; Subspace constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259694

Filename

1259694