Fast PolSAR Data Visualization and Classification Based on Huynen Canonical Decomposition

Abstract:
A scattering degree of preference parameter is developed from Huynen canonical dichotomy which displays superior classification ability over the scattering similarity parameter. A scattering hue parameter is then proposed and demonstrated to be of superiority compared with scattering α on description of scattering mechanism. A scattering saturation parameter is further defined and shows comparable to scattering entropy on description of scattering randomness. A Huynen dichotomy-based PolSAR data visualization scheme is finally obtained which not only works more efficient but also makes the results look better than that from H/α.