TY - JOUR
T1 - A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
AU - Zhou, Xiran
AU - Liu, Jun
AU - Liu, Shuguang
AU - Cao, Lei
AU - ZHOU, Qiming
AU - Huang, Huawen
N1 - Funding Information:
This work is jointly supported by the International Science & Technology Cooperation Program of China (No. 2010DFA92720-24 ); National Natural Science Foundation program (No. 41301403 ); Chongqing Basic and Advanced Research General Project (No. cstc2013jcyjA40010); Chongqing Major Programs for Science and Technology Development (No. CSTC2011GGC40008 ).
PY - 2014/2
Y1 - 2014/2
N2 - 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.
AB - 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.
KW - Edge restored spectral modulation
KW - Generalized intensity-hue-saturation
KW - Image fusion
KW - Image quality evaluation
KW - Remote sensing
KW - Spectral distortion
UR - http://www.scopus.com/inward/record.url?scp=84890812360&partnerID=8YFLogxK
U2 - 10.1016/j.isprsjprs.2013.11.011
DO - 10.1016/j.isprsjprs.2013.11.011
M3 - Article
AN - SCOPUS:84890812360
SN - 0924-2716
VL - 88
SP - 16
EP - 27
JO - ISPRS Journal of Photogrammetry and Remote Sensing
JF - ISPRS Journal of Photogrammetry and Remote Sensing
ER -