基于Otsu和模糊核聚类算法的极化SAR图像分类

Abstract

Abstract:

With the development of polarimetric technology,more and more high resolution SAR images are obtained,and classification of these images is time consuming.A modified algorithm combined Otsu's method and fuzzy kernel c-means algorithm is proposed.The algorithm is implemented by two steps.Firstly,the SAR image is segmented into some blocks coarsely by Otsu's method.Then the processed SAR image is further classified by fuzzy kernel c-means algorithm.The algorithm can not only has better precision,but also get higher calculating speed.

Key words: Otsu method;fuzzy kernel clustering algorithm;SAR image classification

CLC Number:

TP391.41

AN Jian, ZHANG Yang. Classification of Polarimetric Synthetic Aperture Radar Images Based on Otsu's Method and Fuzzy Kernel C-means Clustering Algorithm[J]., 2014, 27(2): 42-.

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Classification of Polarimetric Synthetic Aperture Radar Images Based on Otsu's Method and Fuzzy Kernel C-means Clustering Algorithm

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