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http://dx.doi.org/10.7780/kjrs.2012.28.1.039

Comparison of Image Fusion Methods to Merge KOMPSAT-2 Panchromatic and Multispectral Images  

Oh, Kwan-Young (Department of Geoinformatics, The University of Seoul)
Jung, Hyung-Sup (Department of Geoinformatics, The University of Seoul)
Lee, Kwang-Jae (Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.28, no.1, 2012 , pp. 39-54 More about this Journal
Abstract
The objective of this study is to propose efficient data fusion techniques feasible to the KOMPSAT-2 satellite images. The most widely used image fusion techniques, which are the high-pass filter (HPF), the intensity-hue-saturation-based (modified IHS), the pan-sharpened, and the wavelet-based methods, was applied to four KOMPSAT - 2 satellite images having different regional and seasonal characteristics. Each fusion result was compared and analyzed in spatial and spectral features, respectively. Quality evaluation of image fusion techniques was performed in both quantitative and visual analysis. The quantitative analysis methods used for this study were the relative global dimensional error (spatial and spectral ERGAS), the spectral angle mapper index (SAM), and the image quality index (Q4). The results of quantitative and visual analysis indicate that the pan-sharpened method among the fusion methods used for this study relatively has the suitable balance between spectral and spatial information. In the case of the modified IHS method, the spatial information is well preserved, while the spectral information is distorted. And also the HPF and wavelet methods do not preserve the spectral information but the spatial information.
Keywords
KOMPSAT-2; data fusion; HPF; modified IHS; pan-sharpened; wavelet;
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