一种抽样小波域的遥感影像融合新方法_英文_.docx

Opto-Electronic Engineering2009 年 2 月Feb, 2009文章编号：1003-501X(2009)02-0091-05A New Remote Sensing Image Fusion Algorithmin the Decimated Wavelet DomainCHU Heng1，CHEN Hua-gang1，ZHU Wei-le2( 1. Chongqing Survey Institute, Chongqing 400020, China;2. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China )Abstract: In view of the faults of conventional image fusion methods, a novel remote sensing image fusion algorithmwith 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.Key words: image fusion; remote sensing; IHS transform; wavelet transformCLC number: TN911.73Document code: A一种抽样小波域的遥感影像融合新方法楚恒 1，陈华刚 1，朱维乐 2 ( 1. 重庆市勘测院，重庆 400020；2. 电子科技大学 电子工程学院，成都 610054 )摘要：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。关键词：图像融合；遥感；IHS 变换；小波变换0IntroductionImage fusion, also known as image merging or pan sharpening, is a technique employed to merge the spatialdetails of a high spatial-resolution panchromatic (Pan) image and the color information of a low spatial-resolutionmultispectral