Iterative Classification of Polarimetric SAR Image Based on the Freeman Decomposition and Scattering Entropy

摘要：

In this paper, a new scheme for iterative classification of polarimetric SAR image based on the Freeman decomposition and scattering entropy is proposed. This technique extracts three decomposition coefficients of three scattering mechanism components through the Freeman decomposition and the scattering entropy through the H/Alpha decomposition first; then classifies the polarimetric SAR image into nine initial classes using the four parameters, and obtains the final result by iterative classification with Wishart classifier. This method, utilizing polarimetric scattering information of terrain, can acquire good effect of classification and requires less computation. The effectiveness of this method is demonstrated by the experimental results of polarimetric SAR data acquired practically.

作者: Zhao Li-wen Zhou Xiao-guang Jiang Yong-mei Kuang gang-yao

作者单位: School of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hunan 410073,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）