Investigation on compact polarimetry in SAR Interferometry using CETC38 airborne data
In this paper we investigate the classification performance of the compact polarimetric interferometric SAR (C-PolInSAR). The stressed compact modes are π/4 mode and CTLR mode, due to DCP mode equivalent to CTLR mode in theory. First, we provide a state-of-art of the C-PolInSAR modes, and present the different reconstruction algorithms aiming at recovering the full PolInSAR information from the observed C-PolInSAR dataset. Then, an assessment on the classification performance of the C-PolInSAR modes are carried out based on the Wishart ML classifier. Our emphasis is comparisons between the classification results of the CPolInSAR modes and the corresponding reconstruction modes, versus the dual PolInSAR (D-PolInSAR) and the full PolInSAR (F-PolInSAR) systems. We test on the first PolInSAR dataset in China: CETC38 airborne data. Experimental results show that the C-PolInSAR has a promising application in the terrain classification, and it is an efficient alternative to the F-PolInSAR and the D-PolInSAR.
compact modes PolInSAR reconstruction algorithms SAR image classification.
Ying Liu Wen Yang Xin Xu Mingsheng Liao
School of Electronic Information, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China School of Electronic Information, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China LIESM LIESMARS, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
748-751
2011-10-24(万方平台首次上网日期,不代表论文的发表时间)