作者: Guo-Hui Yao , Chang-Qing Ke , Xiaobing Zhou , Hoonyol Lee , Xiaoyi Shen
DOI: 10.1109/TGRS.2019.2939430
关键词: L band 、 Polarimetry 、 Covariance matrix 、 Satellite 、 Support vector machine 、 Remote sensing 、 Feature (computer vision) 、 Synthetic aperture radar 、 Geology 、 Radar imaging
摘要: To study the applicability of full polarimetric synthetic aperture radar (SAR) data to identify alpine glaciers in the central Himalayas, six polarimetric decomposition methods were used to …