一种抽样小波域的遥感影像融合新方法(英文)

A New Remote Sensing Image Fusion Algorithm in the Decimated Wavelet Domain

针对传统图像融合方法的不足,提出了一种新的基于IHS变换与抽样小波变换的高清晰遥感影像融合方法。该方法将直方图匹配后的全色影像的高频系数作为融合后的高频系数,而融合后的低频系数依据新提出的融合规则得到,最后采用小波逆变换与逆IHS变换获得融合图像。实验结果表明,该方法在提高融合影像的空间分辨率与光谱质量之间得到了更好的折衷。该方法的计算复杂度接近于常用的基于抽样小波变换的融合方法,明显少于基于非抽样小波变换的融合方法。

In view of the faults of conventional image fusion methods, a novel remote sensing image fusion algorithm with high spatial quality based on IHS transform and the decimated wavelet transform is proposed. The merged high frequency coefficients come from the high frequency coefficients of the histogram matched panchromatic image with the proposed fusion method, while the fused low frequency coefficients are obtained according to the fusion rule suggested in this paper. The merged image is acquired with the inverse wavelet transform and the inverse IHS transform. Experimental results show that the proposed algorithm provides a better tradeoff between improving spatial resolution and preserving spectral quality. The computational complexity of the proposed method is close to that of the conventional fusion approach based on decimated wavelet transform and much lower than that of the fusion method based on undecimated wavelet transform.