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Title in Portuguese: An improved remote sensing image fusion algorithm based on IHS transformation
Author: Deng, Chao
Wang, Zhi-heng
Li, Xingwang
Li, Hui-na
Cavalcante, Charles Casimiro
Keywords: Intensity-Hue-Saturation transformation
Spectrum distortion
Local variance weight
Image fusion
Multi-Spectral images
Issue Date: 2017
Publisher: KSII Transactions on Internet and Information Systems
Citation: CAVALCANTE, C. C. et al. An improved remote sensing image fusion algorithm based on IHS transformation. KSII Transactions on Internet and Information Systems, vol. 11, n. 3, p. 1633-1649, 2017
Abstract: In remote sensing image processing, the traditional fusion algorithm is based on the Intensity-Hue-Saturation (IHS) transformation. This method does not take into account the texture or spectrum information, spatial resolution and statistical information of the photos adequately, which leads to spectrum distortion of the image. Although traditional solutions in such application combine manifold methods, the fusion procedure is rather complicated and not suitable for practical operation. In this paper, an improved IHS transformation fusion algorithm based on the local variance weighting scheme is proposed for remote sensing images. In our proposal, firstly, the local variance of the SPOT (which comes from French “Systeme Probatoire d`Observation dela Tarre” and means “earth observing system”) image is calculated by using different sliding windows. The optimal window size is then selected with the images being normalized with the optimal window local variance. Secondly, the power exponent is chosen as the mapping function, and the local variance is used to obtain the weight of the I component and match SPOT images. Then we obtain the I` component with the weight, the I component and the matched SPOT images. Finally, the final fusion image is obtained by the inverse Intensity-Hue-Saturation transformation of the I`, H and S components. The proposed algorithm has been tested and compared with some other image fusion methods well known in the literature. Simulation result indicates that the proposed algorithm could obtain a superior fused image based on quantitative fusion evaluation indices.
metadata.dc.type: Artigo de Periódico
ISSN: 1976-7277
Appears in Collections:DETE - Artigos publicados em revista científica

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