Fundamental Study on Semi-blind Scattering Component Decomposition for POLSAR data using ICA
Konferenz: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
23.04.2012 - 26.04.2012 in Nuremberg, Germany
Tagungsband: EUSAR 2012
Seiten: 4Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Yamada, Hiroyoshi; Yamaguchi, Yoshio (Department of Information Engineering, Niigata University, Japan)
Sato, Ryoichi (Faculty of Education, Niigata University, Japan)
Image decomposition of POLSAR data is an important technique for many applications. The model component decompositions have a preferable feature because they decompose the image into several fundamental components corresponding to their physical characteristics. However, negative-power problem often occur when model mismatch happens. Definition of the model for the volume scattering is of importance. However, general volume model available for urban area is still a problem. To prevent the problem, we investigate a decomposition technique by using Independent Component Analysis. Concept of minimum redundancy array is also introduced to enhance the degree-of-freedom of the observed data sets.