Department of Geography
A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
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. © 2013.
Edge restored spectral modulation, Generalized intensity-hue-saturation, Image fusion, Image quality evaluation, Remote sensing, Spectral distortion
Source Publication Title
ISPRS Journal of Photogrammetry and Remote Sensing
Zhou, Xiran, Jun Liu, Shuguang Liu, Lei Cao, Qiming Zhou, and Huawen Huang. "A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation." ISPRS Journal of Photogrammetry and Remote Sensing 88 (2014): 16-27.