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 MoreMetadata
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
ISBN Information: