SAR image denoising and compression algorithm based on spatial-orientated tree in multiwavelet domain
基于多小波域SOT结构的SAR图像去噪与压缩算法

Speckle noise inherent in synthetic aperture radar(SAR) image severely decreases the image interpretation quality and affects further compression processing.This paper presented a new compression algorithm for SAR image based on spatial-orientated tree(SOT) structure in multiwavelet domain combining with speckle nosing.At first utilized the SOT to normalize the multiwavelet coefficients in high frequency band and removed the signal-dependence of the speckle noise.Then coded multiwavelet coefficients by modified set partitioning in hierarchical trees(SPIHT) algorithm to form embedded bit stream.Large numbers of airborne SAR images validated the efficiency of the proposed algorithm.The experimental results show this coding method achieves favorable peak signal to noise ratio(PSNR) and superior speckle noise reduction performances.