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http://dx.doi.org/10.7848/ksgpc.2015.33.1.63

Evaluation of Block-based Sharpening Algorithms for Fusion of Hyperion and ALI Imagery  

Kim, Yeji (Department of Civil and Environmental Engineering, Seoul National University)
Choi, Jaewan (School of Civil Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.33, no.1, 2015 , pp. 63-70 More about this Journal
Abstract
An Image fusion, or Pansharpening is a methodology of increasing the spatial resolution of image with low-spatial resolution using high-spatial resolution images. In this paper, we have performed an image fusion of hyperspectral imagery by using panchromatic image with high-spatial resolution, multispectral and hyperspectral images with low-spatial resolution, which had been acquired by ALI and Hyperion of EO-1 satellite sensors. The study has been mainly focused on evaluating performance of fusion process following to the image fusion methodology of the block association, which had applied to ALI and Hyperion dataset by considering spectral characteristics between multispectral and hyperspectral images. The results from experiments have been identified that the proposed algorithm efficiently improved the spatial resolution and minimized spectral distortion comparing with results from a fusion of the only panchromatic and hyperspectral images and the existing block-based fusion method. Through the study in a proposed algorithm, we could concluded in that those applications of airborne hyperspectral sensors and various hyperspectral satellite sensors will be launched at future by enlarge its usages.
Keywords
Spatial Resolution; Block-Based Fusion; Hyperspectral Imagery; ALI; Hyperion;
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Times Cited By KSCI : 1  (Citation Analysis)
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