27 August 1993 Satellite image processing using a hammering neural network
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It is shown that images with missing pixels can be approximately and usefully reconstructed using an interpolation function derived from as few as 10% of the original pixels in the image. The interpolation procedure uses Gaussian radial basis functions to `hammer' a plane to the given data points, where the basis function widths are calculated according to diagonal dominance criteria. In this paper the effectiveness of the reconstruction technique is investigated as a function of the degree of diagonal dominance.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David W. Gilbert, David W. Gilbert, Steven C. Gustafson, Steven C. Gustafson, } "Satellite image processing using a hammering neural network", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150949; https://doi.org/10.1117/12.150949


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