Fundamental Study on Semi-blind Scattering Component Decomposition for POLSAR data using ICA

摘要

Image decomposition of POLSAR data is an important technique for many applications. The model componentrndecompositions have a preferable feature because they decompose the image into several fundamental componentsrncorresponding to their physical characteristics. However, negative-power problem often occur when modelrnmismatch happens. Definition of the model for the volume scattering is of importance. However, general volumernmodel available for urban area is still a problem. To prevent the problem, we investigate a decomposition techniquernby using Independent Component Analysis. Concept of minimum redundancy array is also introduced tornenhance the degree-of-freedom of the observed data sets.