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| POLSAR Dominant Scattering Mechanism Clustering and Unsupervised Classification Based on Similarity |
| Li Hong-zhong① Chen Jin-song① Wang Chao② Zhang Hong② |
①(Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)
②(Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China) |
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Abstract A new POLSAR dominant scattering mechanism clustering and unsupervised classification method is proposed based on polarimetric scattering similarity and Freeman decomposition models. As polarimetric scattering similarity is roll-invariant and nonnegative, the method fixes the problems of Freeman decomposition in classification. Experiment shows that, comparing to the classification method based on Freeman decomposition, the proposed method depicts terrain scattering properties more accurately.
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Received: 02 September 2011
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Corresponding Authors:
Li Hong-zhong
E-mail: hz.li@siat.ac.cn
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2012, Vol. 34 
