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

作　　者：Wu Yirong Cao Fang Hong Wen 

机构地区：[1]National Key Lab. of Microwave Imaging Technology, Beijing 100080, China [2]The Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China [3]The Graduate University of Chinese Academy of Sciences, Beijing 100039, China

出　　处：《Journal of Electronics(China)》2007年第2期145-149,共5页电子科学学刊（英文版）

摘　　要：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/SPAN.Then 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.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 Aperture Rader （SAR） data. We apply the IHSL colour transform to H/α/SPAN space 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/SPAN. Then 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/SPAN space directly during the segmentation procedure.

关 键 词：IHSL transform Fuzzy C-Means （FCM） segmentation Fully polarimetric SyntheticAperture Rader （SAR） data Unsupervised classification 

分 类 号：TN957.52[电子电信—信号与信息处理]