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http://dx.doi.org/10.7780/kjrs.2014.30.2.6

Comparative Analysis of Image Fusion Methods According to Spectral Responses of High-Resolution Optical Sensors  

Lee, Ha-Seong (Department of Geoinformatics, The University of Seoul)
Oh, Kwan-Young (Department of Geoinformatics, The University of Seoul)
Jung, Hyung-Sup (Department of Geoinformatics, The University of Seoul)
Publication Information
Korean Journal of Remote Sensing / v.30, no.2, 2014 , pp. 227-239 More about this Journal
Abstract
This study aims to evaluate performance of various image fusion methods based on the spectral responses of high-resolution optical satellite sensors such as KOMPSAT-2, QuickBird and WorldView-2. The image fusion methods used in this study are GIHS, GIHSA, GS1 and AIHS. A quality evaluation of each image fusion method was performed with both quantitative and visual analysis. The quantitative analysis was carried out using spectral angle mapper index (SAM), relative global dimensional error (spectral ERGAS) and image quality index (Q4). The results indicates that the GIHSA method is slightly better than other methods for KOMPSAT-2 images. On the other hand, the GS1 method is suitable for Quickbird and WorldView-2 images.
Keywords
GIHS; GIHSA; GS1; AIHS;
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Times Cited By KSCI : 4  (Citation Analysis)
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