Preliminary result of polarization property analysis using fully polarimetric GB-SAR images

Korea Institute of Geoscience and Mineral Resources (KIGAM) and Kangwon National University (KNU) ground-based synthetic aperture radar (GB-SAR) team has been developed a fully polarimetric and interferometric GB-SAR system over past several years. The objective of this paper is to investigate an application of the obtained fully polarimetric GB-SAR images and an effective polarimetric analysis method to extract polarization properties from different terrain targets as a preliminary study. We utilized an unsupervised classification method for analyzing of a fully polarimetric GB-SAR image, in particular, Cloude and Pottier's method and a combined H/A/ and the complex Wishart classifier method based on the H/A/ polarimetric decomposition theorem.

• Type: Journal
• Year: 2010
• Where: IGARSS
• Authors: Moon-Kyung Kang, Kwang-Eun Kim, Hoonyol Lee, Seong-Jun Cho, Jae-Hee Lee
• Keywords: IGARSS 2010, Polarimetric Gb-sar Image, Remote Sensing, Unsupervised Classification Method, Wishart Classifier Method