Scattering component consistency based parameter for polarimetric SAR image classification
JIAO Zhihao1,2, YANG Jian1, YE Chunmao3, SONG Jianshe4
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;
2. Information Center of Ministry of Industry and Information Technology, Beijing 100846, China;
3. Beijing Institute of Radio Measurement, Beijing 100854, China;
4. The Second Artillery Engineering University, Xi'an 710025, China
Abstract：The scattering entropy accurately describes the randomness of a scattering medium, but analyses do not use the relationships between the three eigenvectors representing the different coherent scatterings. More polarization information is extracted by a parameter describing the consistency of the scattering components to classify of polarimetric SAR images. The parameter contains information on the eigenvalue distributions and similarities between the coherent scattering components and represents the closeness of the scattering to simplex coherent scattering. The AIRSAR L-band polarimetric image of San Francisco is segmented using this parameter instead of the scattering entropy and then adjusted by a Wishart classifier. Tests demonstrate the effectiveness of this parameter to improve the classification and object details.
焦智灏, 杨健, 叶春茂, 宋建社. 基于散射成分一致性参数的极化SAR图像分类[J]. 清华大学学报（自然科学版）, 2016, 56(8): 908-912.
JIAO Zhihao, YANG Jian, YE Chunmao, SONG Jianshe. Scattering component consistency based parameter for polarimetric SAR image classification. Journal of Tsinghua University(Science and Technology), 2016, 56(8): 908-912.
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2016, Vol. 56 
