NDLI: Comparison of Fusion Algorithms for ALOS Panchromatic and Multi-spectral Images

Content Provider	IEEE Xplore Digital Library
Author	Wen-yi Liu Guo-jin He
Copyright Year	2008
Description	Author affiliation: Centre for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing (Wen-yi Liu; Guo-jin He)
Abstract	The fusion of multi-source remote sensing images can utilize the multi-source information and obtain richer and more objective information compared with the single source image data. ALOS is a new source of high-resolution satellite data, hence research on the practical methods for ALOS data fusion has great significance in prompting the ALOS data application. Based on the features of ALOS data, some common fusion algorithms are experimented and compared. Results of different fusion methods are analyzed in terms of spatial resolution enhancement and spectral information maintenance. As far as the fusion of AVNIR_4, 3, 2 multi-spectral and PRISM_PAN bands selected are concerned, the experiments show that the Brovey method has the advantage over other fusion methods in the aspect of visual representation and identifying precision.
Starting Page	503
Ending Page	509
File Size	1266273
Page Count	7
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Multispectral imaging Satellite broadcasting Multiplicative Transformation Geoscience Covariance matrix Remote sensing PCA Brovey ALOS Data Fusion Space technology IHS Spatial resolution Remote monitoring Principal component analysis
Content Type	Text
Resource Type	Article

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