A Proportional Analysis of Image Fusion Methods
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 1
Abstract
The fusion of high-spectral/low-spatial resolution multi panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spa the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image effective means to enhance spatial resolution is to enhance the edges. The curvelet provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.
Authors and Affiliations
Sanjaykumar Bhalchandra
Keywords
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