Interpolation-free algorithm for persistent multi-frame imaging of video-SAR

作     者：Hu, Ruizhi Min, Rui Pi, Yiming 

作者机构：Univ Elect Sci & Technol China Sch Elect Engn 2006 Xi Yuan Ave Chengdu Peoples R China 

出 版 物：《IET RADAR SONAR AND NAVIGATION》 

年 卷 期：2017年第11卷第6期

页      面：978-986页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China [61271287  U1433113] 

主　　题：interpolation synthetic aperture radar radar imaging image sequences video surveillance image resolution fast Fourier transforms interpolation free algorithm persistent multiframe imaging video SAR video synthetic aperture radar ViSAR image sequences high frame rate imaging algorithms multiframe imaging fast Fourier transforms image quality 

摘      要：Video synthetic aperture radar (ViSAR) can produce sequential images at a high frame rate, which provides a persistent surveillance over a region of interest. However, due to position changes of different apertures, most of existing imaging algorithms fail since the orientation and resolution of each frame image will change accordingly. In this article, based on the high centre frequency characteristic of ViSAR, an interpolation-free algorithm for persistent multi-frame imaging is proposed. The proposed algorithm can be implemented by only two-dimensional fast Fourier transforms without any image post-processing, thus both the efficiency and quality of imaging are obtained at the same time. Simulation and real data results have verified the effectiveness of the proposed algorithm.