An Unsupervised Classification Using Agglomerative Hierarchical Clustering, Wishart Test Statistic and the C-p Decomposition for Fully Polarimetric Sar Data
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چکیده
A new unsupervised classification algorithm is introduced for fully polarimetric SAR data. The agglomerative hierarchical algorithm and Wishart test statistics are used for the cluster segmentation, which includes the process of estimation the number of clusters. The Cloude-Pottier decomposition & HSI color transform are used for the target identification, which also automatically render the colormap of the resulting images.
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تاریخ انتشار 2010