A Remote Sensing Image Fusion Method Based on Wavelet Packet Transform

Abstract

Remote sensing image fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. The result of image fusion is a single image which is more suitable for human and machine perception or further image processing. In this paper, a new remote\|sensing image fusion method based on wavelet packet transform (WPT) to fusion a multi\|spectral image and a panchromatic image is studied. Firstly, the multi\|spectral image is transformed with PCA, and three principal components can be obtained. Secondly, the first principal component of the multi\|spectral image and panchromatic image are transformed with wavelet packet transform. Thirdly, their high\|frequency coefficients are combined efficiently, while the low\|frequency coefficients of the first principal component of the multi\|spectral image are preserved. Fourthly, the first principal component of the multi\|spectral image is transformed with inverse wavelet packet transform. Finally, the fusioned image is obtained by inverse PCAT. Visual result and statistical parameters indicate that the performance of our new method is efficient comparing with those of PCAT (principal component analysis Transform)\|based fusion method, IHST (Intensity\|Hue\|Saturation transform)\|based one, and WT (wavelet transform) \|based one. It not only enhances spatial detail information of the result image largely, but also preserves spectral information of the original multispectral image well.