Analysis and Selection of Coefficient Feature by Curvelet Transform for SAR Images

摘要：

　　Synthetic aperture radar (SAR) imaging is very sensitive to direction,so if the information is obtained from multi-directions,it must be more accurate and more particular than that obtained from single direction.The Curvelet transform is a kind of multi-scale and multi-direction signal processing theory,and it is fit for SAR image decomposition.Moreover,it can extract each decomposed scale coefficient in light of demand.This paper mainly discusses the selection,reorganization and fusion of each scale coefficient for SAR image decomposed by Curvelet theory.

关键词： SAR image Curvelet transform coefficient feature feature selection

作者: Huang Shiqi Su Peifeng

作者单位: Xijing University Xian, China Xian Research Institute of Hi-Tech Xian, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1069-1072

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）