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AN UNSUPERVISED CLASSIFICATION FOR FULLY POLARIMETRIC SAR DATA USING SPAN/H/α ihsl transform AND THE FCM ALGORITHM

Journal of Electronics(China) 2007年第2期24卷 145-149页

作者： Wu Yirong Cao Fang Hong Wen National Key Lab. of Microwave Imaging Technology Beijing 100080 China The Institute of Electronics Chinese Academy of Sciences Beijing 100080 China The Graduate University of Chinese Academy of Sciences Beijing 100039 China

In this paper, the ihsl transform and the Fuzzy C-Means (FCM) segmentation algorithm are combined together to perform the unsupervised classification for fully polarimetric Synthetic Ap-erture Rader (SAR) data. We apply the ihsl colour transform to H/α/SPANspace to obtain a new space (RGB colour space) which has a uniform distinguishability among inner parameters and contains the whole polarimetric information in H/α/*** the FCM algorithm is applied to this RGB space to finish the classification procedure. The main advantages of this method are that the parameters in the color space have similar interclass distinguishability, thus it can achieve a high performance in the pixel based segmentation algorithm, and since we can treat the parameters in the same way, the segmentation procedure can be simplified. The experiments show that it can provide an improved classification result compared with the method which uses the H/α/SPANspace di-rectly during the segmentation procedure.

关键词： ihsl transform Fuzzy C-Means (FCM) segmentation Fully polarimetric SyntheticAperture Rader (SAR) data Unsupervised classification

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An Improved Cloude-Pottier Decomposition Using H/α/SPAN and Complex Wishart Classifier for Polarimetric SAR Classification

An Improved Cloude-Pottier Decomposition Using H/α/SPAN and...

引用

2006 CIE International Conference on Radar

作者： Cao Fang 1 2 3 Hong Wen 1 2 Wu Yirong 1 2 1 National Key Lab.of Microwave Imaging Technology 2 The Institute of Electronics Chinese Academy of Sciences 3 The Graduate School of Chinese Academy of Sciences Beijing P.R.China

An improvement is proposed for the CloudePottier decomposition using H/α/SPAN and ihsl *** on this decomposition,an unsupervised classification with SPAN is also given in this *** main advantages of this decomposition are that it uses SPAN to maintain the space information for further polarimetric analysis and provides a straight way to present the *** experiments show that this decomposition method provides better results than the general Cloude-Pottier method and the corresponding Wishart H/α/SPAN classification also achieves better performance than the current Wishart H/α/A method.

关键词： ihsl transform H/α/SPAN Cloude-Pottier Decomposition unsupervised classification fully polarimetric SAR

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