中国电子科技2007，Vol.5Issue(2)：163-166,4.
Simultaneous Speckle Reduction and SAR Image Compression Using Multiwavelet Transform
Simultaneous Speckle Reduction and SAR Image Compression Using Multiwavelet Transform
摘要
Abstract
Synthetic aperture radar (SAR) images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multi wavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper we propose a compression scheme combining with speckle noise reduction within the multiwavelet framework. Compared with classical set partitioning in hierarchical trees (SPIHT) algorithm, our method achieves favorable peak signal to noise ratio (PSNR) and superior speckle noise reduction performances.关键词
Synthetic aperture radar (SAR) image compression/multiwavelets/speckle noise reduction/set partitioning in hierarchical trees (SPIHT)Key words
Synthetic aperture radar (SAR) image compression/multiwavelets/speckle noise reduction/set partitioning in hierarchical trees (SPIHT)引用本文复制引用
Ai-Li Wang,Ye Zhang,Yan-Feng Gu..Simultaneous Speckle Reduction and SAR Image Compression Using Multiwavelet Transform[J].中国电子科技,2007,5(2):163-166,4.基金项目
This work was supported by the National Natural Science Foundation of China under Grant No. 60472048. （）
