Model-Based Polsar Decompositions: Virtues and Vices | IEEE Conference Publication | IEEE Xplore

Model-Based Polsar Decompositions: Virtues and Vices


Abstract:

Model-based polarimetric decompositions have long been applied to classify polarimetric SAR imagery. This long and successful history has, at times, been interrupted by n...Show More

Abstract:

Model-based polarimetric decompositions have long been applied to classify polarimetric SAR imagery. This long and successful history has, at times, been interrupted by nagging issues: polarimetric orientation angle effects, negative scattering powers, simplistic scattering models, etc. We test model-based polarimetric decomposition techniques for robustness to variations of the underlying in-scene scattering mechanisms. We determine the accuracy and robustness of the decomposition results using simulated data sets. The simulation inputs, e.g. volume scattering model, polarimetric signal-to-noise, simple multi-bounce models, etc., are known and thus provide “ground truth” for comparison to model-based decomposition results. We will illustrate our results by applying a select set of model-based decompositions to both simulated and actual PolSAR imagery.
Date of Conference: 22-27 July 2018
Date Added to IEEE Xplore: 04 November 2018
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Conference Location: Valencia, Spain

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