An unsupervised segmentation with an adaptive number of clusters using cloude-pottier decomposition, wishart test statistic and mccv algorithm for fully polarimetric sar data analysis.

An Unsupervised Segmentation With an Adaptive Number of Clusters Using the $SPAN/H/alpha/A$ Space and the Complex Wishart Clustering for Fully Polarimetric SAR Data Analysis

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An Improved Cloude-Pottier Decomposition Using H/α/SPAN and Complex Wishart Classifier for Polarimetric SAR Classification

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The Implication of Boundary Adjustment in H/Alpha Plane on the Unsupervised Wishart Maximum Likelihood Segmentation for Fully Polarimetric SAR Data

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Autonomous Coastal Land Cover Assessment Using Polarimetric Decomposition of SAR Data

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Analysis of fully polarimetric SAR data based on the Cloude-Pottier decomposition and the complex Wishart classifier

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Autonomous Coastal Land Cover Assessment Using Polarimetric Decomposition of SAR Data

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Unsupervised nonparametric classification of polarimetric SAR data using the K-nearest neighbor graph

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On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data

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