Remotely Sensed Images Fusion Based on Non-subsampled Contourlet Transform
遥感图像融合的非采样Contourlet变换方法

The fusion of multispectral(MS) and panchromatic(PAN) images is the nodus of Remotely Sensed Images Fusion.In order to improve the quality of the fused image,in this paper,a novel fusion strategy based on non-subsampled contourlet transform(NSCT) is presented.Due to the non-subsampled contourlet transform(NSCT) is obtained by coupling a non-subsampled pyramid structure with the non-subsampled directional filter bank(DFB),and the non-subsampled contourlet transform(NSCT) is shift-invariant and high directionality,it can remedy the limitation of the subsampled contourlet(CT) transform and solve the low directional problem of discrete wavelet transform(DWT).In the experiment we used the images of Landsat TM5 and SPOT to validate this strategy,and compared with the DWT and CT use the method of direct replace,chose the maximal Absolute value and chose the maximal local Variance.The experimental results show that our method is more effective than other methods in improving the quality of image.This also proves that NSCT is an effective strategy in the field of remotely sensed images fusion,and it can be successfully used in the application of remotely sensed images fusion.