Image Decomposition methods in Synthetic Aperture Radar Polarimetry

Synthetic aperture radar is imaging radar to cover the wide range of earth surface with high resolution images. It captures images day and night in all type of weather conditions. The polarization data contains information, on scattering mechanism related to different objects. The objects are land, ocean, ice, snow and forest which are natural distributed targets. Using scattering mechanism different objects are categorized. Scattering mechanism is measured by scattering elements of the matrix. The full polarization of synthetic aperture radar data classifies the obtained image. This paper analyses the two different techniques of decomposition methods related to polarimetry. These are linear decomposition and Pauli decomposition methods. These two methods are helpful for system level design and scattering process considerations.