SAR Image Compression based on Image Decomposing and Targets Extracting

摘要：

With the bandwidth restriction in airborne Synthetic Aperture Radar (SAR)-based human-in-the-loop applications, the acquired SAR images should be compressed with loss to overcome the conflict of image quantity and the response time. In this paper we described a framework of SAR image compression. The SAR image is decomposed into two components, namely structural and textural components. The target region mask is used to retain the important target information by allocating more bits during compression, while less bits is allocated for the background region. The obtained result showed that the compressed image using the proposed algorithm has better visual effect under the same bit rate compared with JPEG2000 algorithm.

关键词： Image decomposition wavelet target recognition total variation.

作者: Jun ZHANG Yingjun HUANG Hao TIAN Lin LIAN

作者单位: Department of System 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）