Remote sensing image fusion based on IHS transform, wavelet transform, and HPF

摘要

Remote-sensing image fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. In the past few years, many fusion methods have been introduced, where intensity-hue-saturation transform (IHST)-based fusion method, wavelet transform (WT)-based fusion method and high pass filter (HPF)-based fusion method are commonly used. There are complementarities between the three fusion methods, so this paper presents a new fusion method based on WT, IHST and HPF, which overcomes the shortcomings of the three fusion methods and exploits their strong points. Our new method uses WT-based fusion method to preserve the spectral information of the original multispectral image, and IHST-based fusion method to improve spatial presentation of the fused image, and HPF-based method to merge the low-frequency part of the panchromatic image with that of the I channel data of the multispectral image in WT domain to enhance spatial information and avoid block effect in WT-based fusion method. Experiment results show that our new method is efficient. It not only preserves the spectral information of the original multispectral image very well, but also enhances spatial presentation of the fused image largely.