Time-frequency Analysis of SAR Image based on Generalized S-transform

摘要：

A new time-frequency representation approach based on the generalized S-transform (GST) was developed to analysis Synthetic aperture radar (SAR) images. At first, a SAR image is decomposed into one-dimensional (1-D) signals by choosing different scalable windows, rather than doing S transform directly. Then, algorithm simulations and textural feature analysis are conducted using both basic Stransform (BST) and GST which has an adjustable time-frequency resolution. The simulation results show that the proposed method appears to work well and the GST spectrum can provide more complementary feature information than the BST spectrum for textural analysis of SAR images.

关键词： generalized S-transform SAR image time frequency analysis

作者: Zhenming Peng Jie Zhang Fanbin Meng Jun Dai

作者单位: School of Opto-Electronic Information University of Electronic Science and Technology of China Cheng College of Physics Science and Information Engineering Jishou University Jishou 416000,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 556-559

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）