A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
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DOI：
10.1016/j.isprsjprs.2013.11.011
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发表时间：
2014-02-01
影响因子：
12.7
通讯作者：
Huang, Huawen
中科院分区：
文献类型：
--
作者：
Zhou, Xiran;Liu, Jun;Huang, Huawen
高空间分辨率和光谱保真度是评价图像融合算法的基本标准。许多遥感图像的融合方法已经被开发出来。其中一些方法是基于强度-色调-饱和度(IHS)变换和广义IHS(GIHS)的，这可能会导致严重的光谱失真。GIHS中的光谱失真被证明是由于融合过程中饱和度的变化造成的。因此，减少这种变化可以实现高光谱保真度。本文提出了一种基于GIHS的光谱保存融合方法，理论上可以减少光谱失真。该算法由两个步骤组成。第一步是光谱调制，它使用高斯函数提取空间细节，并对多光谱图像进行光谱调制。这种方法不需要在全色图像和MS图像的强度之间进行直方图匹配，就可以产生期望的视觉效果。第二步使用高斯卷积函数来恢复SM过程中丢失的边缘细节。与其他基于GIHS的方法相比，该方法被证明是有效的，并且具有更好的结果。皇冠版权所有(C)2013由爱思唯尔B.V.出版。保留所有权利。
High spatial resolution and spectral fidelity are basic standards for evaluating an image fusion algorithm. Numerous fusion methods for remote sensing images have been developed. Some of these methods are based on the intensity-hue-saturation (IHS) transform and the generalized IHS (GIHS), which may cause serious spectral distortion. Spectral distortion in the GIHS is proven to result from changes in saturation during fusion. Therefore, reducing such changes can achieve high spectral fidelity. A GIHS-based spectral preservation fusion method that can theoretically reduce spectral distortion is proposed in this study. The proposed algorithm consists of two steps. The first step is spectral modulation (SM), which uses the Gaussian function to extract spatial details and conduct SM of multispectral (MS) images. This method yields a desirable visual effect without requiring histogram matching between the panchromatic image and the intensity of the MS image. The second step uses the Gaussian convolution function to restore lost edge details during SM. The proposed method is proven effective and shown to provide better results compared with other GIHS-based methods. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.