Low Bit-Rate SAR Image Encoding using Bandelets with Adaptive Quadtree Partition
Synthetic aperture radar (SAR) is an imaging system which provides high-resolution images of earth surface.Nowadays there is an ever-growing interest in the SAR data compression because of the huge resources which require for storage and transmission.In this paper,we address the problem of sAR image compression and apply the multiscale Bandelet with adaptive quadtree partition to solve it.Because Bandelet can provide an efficient representation of geometric structures existed in images,the Bandelet based method can capture abundant textures in SAR images.Moreover,the multiscale Bandelet with adaptive quadtree partition can approximate any piecewise Cd -regular functions when α is unknown,so Bandelet can represent the hierarchy textures of sAR images efficiently.Embedded Block Coding with Optimal Truncation (EBCOT) coding algorithm is employed in our proposed method.Experimental results show that our method outperforms JPEG2000 and the second generation Bandelet (2G-Bandelet) compression methods on SAR image encoding at low bit rates.
SAR (Synthetic aperture radar) Bandelet EBCOT(Embedded Block Coding with Optimal Truncation)
Shuyuan Yang Huixiao Meng Ruixia Wu Licheng Jiao
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Institute of Intelligence Information Processing,Xian,China,710071
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
1128-1131
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）