Document Type

Journal Article

Department/Unit

Department of Geography

Title

A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation

Language

English

Abstract

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.

Keywords

Edge restored spectral modulation, Generalized intensity-hue-saturation, Image fusion, Image quality evaluation, Remote sensing, Spectral distortion

Publication Date

2014

Source Publication Title

ISPRS Journal of Photogrammetry and Remote Sensing

Volume

88

Start Page

16

End Page

27

Publisher

Elsevier

DOI

10.1016/j.isprsjprs.2013.11.011

ISSN (print)

09242716

ISSN (electronic)

18728235

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