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18 October 2005 Multispectral and SAR image fusion with a multiresolution directional-oriented image transform based on Gaussian derivatives
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Abstract
In this paper, we present two novel methodologies for image-fusion. First we fuse multispectral images from the same satellite (Landsat ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case, we fuse multispectral Landsat ETM+ and SAR images combining with a speckle reduction method for the latter. Both algorithms are based on a Gaussian-derivative image transform. This is a multi-channel model for image representation based on the scale-space theory. Moreover, locally rotating the image transform allows better edge reconstruction and restoration from noise. We show that multispectral image fusion with the Hermite Transform preserves the biophysical variable interpretation of the original images.
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Boris Escalante-Ramírez and Alejandra A. López-Caloca "Multispectral and SAR image fusion with a multiresolution directional-oriented image transform based on Gaussian derivatives", Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 598206 (18 October 2005); https://doi.org/10.1117/12.628546
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