Unsupervised Classification for Compact Polarimetric SAR Data Using m-δ Decomposition,SPAN and the Wishart Classifier

摘要：

This paper studies the polarimetric decomposition and unsupervised classification of compact polarimetric data.Compact polarimetric data have been synthesized from AirSAR L-band fully polarimetric data by matrix transformations.Polarimetric decomposition for compact polarimetric data have been introduced and analyzed.Decomposition result of relevant fully polarimetric data has been used for comparison. An unsupervised classification method is proposed for compact polarimetric data using polarimtric decomposition.Degree of polarization m and relative H-V phase 5 combined with the total backscattering power SPAN have been used to initialize the compact polarimetric data into 15 classes. Then the Wishart classifier is applied. The result of this algorithm is illustrated and compared with the classification result of full polarimetric data.

关键词： Compact polarimetry polarimetric decomposition unsupervised classification

作者: L.Chen F.Cao W.Hong

作者单位: National Key Laboratory of Microwave Imaging Technology,Institute of Electronics,Chinese Academy of Sciences,Lab.l,No.l9,Bei Si Huan Xi Lu,Beijing 100190,P.R.China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 742-745

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）