Li Hong-Zhong, Chen Jin-Song, Wang Chao, Zhang Hong. POLSAR Dominant Scattering Mechanism Clustering and Unsupervised Classification Based on Similarity[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1501-1505. doi: 10.3724/SP.J.1146.2011.00905
Citation:
Li Hong-Zhong, Chen Jin-Song, Wang Chao, Zhang Hong. POLSAR Dominant Scattering Mechanism Clustering and Unsupervised Classification Based on Similarity[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1501-1505. doi: 10.3724/SP.J.1146.2011.00905
Li Hong-Zhong, Chen Jin-Song, Wang Chao, Zhang Hong. POLSAR Dominant Scattering Mechanism Clustering and Unsupervised Classification Based on Similarity[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1501-1505. doi: 10.3724/SP.J.1146.2011.00905
Citation:
Li Hong-Zhong, Chen Jin-Song, Wang Chao, Zhang Hong. POLSAR Dominant Scattering Mechanism Clustering and Unsupervised Classification Based on Similarity[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1501-1505. doi: 10.3724/SP.J.1146.2011.00905
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.