A wavelet packet frequency-shift algorithm for remote sensing image fusion was introduced to solve the problem of serious frequency aliasing caused by dyadic-down sampling.
在基于小波包的遥感图像融合应用中，引入用于调整小波包分解频率顺序的小波包移频算法来解决由于间隔采样而导致的频带混叠现象。
The improved algorithm selects the band width and down sampling ratio with the shortest computation time in accordance with the parameters.
在保证频谱细化要求下，此改进算法可根据参数选择运算量最小的滤波器带宽和选抽比。
应用推荐