InSAR Image Compression Based on Wavelet Transformation and Fast Vector-Quantization
基于小波变换和快速矢量量化的InSAR图像压缩

A new image compression method for the interferometry synthetic aperture radar(InSAR) image based on of wavelet transform and fast VQ was presented. In the domain of wavelet transformation, data characteristics were applied to quantize data in no-linear mode. Then a fast coding method of wavelet tree-structure VQ was used to compress the InSAR data. With this method, non-linear VQ combined with the wavelet soft threshold technique can suppress noise in InSAR data definitely. Experiment results show that the presented compressing method is more efficient than typical EZW and SPIHT.