Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/Alpha-Wishart classifier

By Laurent Ferro-Famil, Eric Pottier, Jong-Sen Lee. IEEE Transactions on Geoscience and Remote Sensing, 2001

379 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/530077771be19d5fd6cb94278a1bd930c20adb96

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Citations in the corpus

Unsupervised terrain classification preserving polarimetric scattering characteristics (2004, background): “Ferro-Famil et al. [ 13 ], [14] have extended this class of classification algorithms to multifrequency, and to polarimetric SAR interferometry data, using interferometric coherences to separate man-made targets from vegetated areas.”
NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising (2015, methodology): “Model-based decomposition [63], [64] computed from image (b): (d) entropy H (range [0, 1]), (e) α parameter (range [0, π/2]) and (f) anisotropy A (range [0, 1]).”
A review of polarimetry in the context of synthetic aperture radar: concepts and information extraction (2004, methodology): “polarimetric features leads to highly descriptive classification results that can be interpreted by analyzing underlying scattering mechanisms (Van Zyl, 1989; Touzi et al., 1992a; Cloude and Pottier, 1997a; Freeman and Durden, 1998; Lee et al., 1999b; 2001; Pottier et al., 1999; Ferro-Famil et al., ”
Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation (2006, methodology): “Based on this decomposition, unsupervised classification for land applications was performed by an iterative algorithm based on complex Wishart density function [6], [ 7 ].”
Land Cover Classification of Palsar Images by Knowledge Based Decision Tree Classifier and Supervised Classifiers Based on SAR Observables (2011, background): “[9], Ouarzeddine and Souissi [10], Fang et al.”
ASSESSMENT OF L-BAND SAR DATA AT DIFFERENT POLARIZATION COMBINATIONS FOR CROP AND OTHER LANDUSE CLASSIFICATION (2012, background): “Various authors have reported of achieving significant classification accuracies for crops and other landuse classes using dual and quad polarimetric data from airborne as well as spaceborne SARs [1, 6, 7, 23, 24, 26].”