期刊
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
卷 88, 期 -, 页码 16-27出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.isprsjprs.2013.11.011
关键词
Image fusion; Generalized intensity-hue-saturation; Edge restored spectral modulation; Spectral distortion; Image quality evaluation; Remote sensing
类别
资金
- International Science & Technology Cooperation Program of China [2010DFA92720-24]
- National Natural Science Foundation program [41301403]
- Chongqing Basic and Advanced Research General Project [cstc2013jcyjA40010]
- Chongqing Major Programs for Science and Technology Development [CSTC2011GGC40008]
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.
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