SAR image compression based on wavelet packet transform
基于小波包分解的SAR图像压缩

In order to improve the compression efficiency of texture-rich synthetic aperture radar( SAR) images, this paper proposed wavelet packet decomposition based coding method to exploit middle and high frequency components. Firstly, applied wavelet packet transform to SAR images for a full decomposition, and then utilized a cost function related with the sequential coding scheme for best basis selection to improve the representation efficiency of SAR images. At last, weighted and coded wavelet packet coefficients in different subbands according to importance by set partitioning in hierarchical trees ( SPIHT) al-gorithm. The experimental results show that the proposed coding method using wavelet packet transform compares favorably with the conventional wavelet-based SPIHT compression methods and keeps more texture information improving interpretability performance for further SAR image processing.