Low Bit Rate ROI-based SAR Image Compression

摘要：

Due to large amount of collected data, image compression is both necessary and important for SAR system. Conventional image compression algorithms are incapable of attaining the desired compression while retaining the image fidelity required for processing at the ground station. In this paper, we present a ROI-based SAR image compression system for low bit rate. Region of interest is identified by a multiresolution constant false alarm rate (CFAR) detector and it is encoded with a higher bit rate than background. Performance was tested over the public MSTAR target chips. Results show that SNR of target area with proposed algorithm are higher than that with conventional algorithm and contextual information is preserved.

关键词： synthetic aperture radar wavelet target detection image compression

作者: Xiao-Hong YUAN Zhao-Da ZHU Gong ZHANG

作者单位: College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing,China College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nan

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 563-567

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）