第二代小波变换及其遥感图象应用

The 2nd Generation Wavelet Transform and its Application to Remote Sensing Images

主要探讨了第二代小波变换的基本原理。通过上升型算法，所有变换都在空间域进行，能够进行本位运算，既提高了效率，又节省了内存开销。以经典的ＣＤＦ双正交小波为例，介绍了利用上升型模式构造第二代小波的实现过程。针对遥感图象处理的具体应用，用第二代小波变换与滤波相结合的方法进行遥感图象的增强和模糊，取得了很好的效果。

The principles of the 2nd generation wavelet transform is discussesed. Through lifting algorithm, all transforms are processed in the spatial domain, which can be done by inplace operation. It will improve the computational efficiency while saving memory overloading. As an example, An implementation on how to construct the 2nd generation wavelet through lifting scheme using classical CDF biorthogonal wavelet is proposed. Combined lifting transform with linear filtering, we make an experiment on remote sensing images processing. It shows good effects on image enhancement and blurring.