Affiliations: The School of Computer and Information Engineering, Anyang Normal University, Anyang, Henan, China
Correspondence:
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Corresponding author: Xiaorong Xue, The School of Computer and Information Engineering, Anyang Normal University, Anyang, Henan, China. E-mail:flyxxr@sina.com
Abstract: For the existence of speckle in SAR (Synthetic Aperture
Radar) image, it is very difficult to obtain good segmentation result with
traditional methods. In this paper, an efficient method of SAR image
segmentation is proposed with the combination of the features of SAR image
and multi-resolution analysis of wavelet. First, texture features of SAR
image are abstracted in wavelet domain. Second, SAR image is filtered
according to the feature of its distribution in the wavelet domain. At last,
with Fuzzy C-Means clustering technique (FCM), SAR image is segmented
according to the vectors composed by wavelet texture features and grayscale
of SAR image filtered. The experiment results show that the proposed method
is efficient in SAR image segmentation.
Keywords: SAR image, image segmentation, wavelet, FCM, texture feature
