Satellite image processing using a hammering neural network

David W. Gilbert; Steven C. Gustafson

doi:10.1117/12.150949

27 August 1993 Satellite image processing using a hammering neural network

David W. Gilbert, Steven C. Gustafson

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150949
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

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.

Citation Download Citation

David W. Gilbert and Steven C. Gustafson "Satellite image processing using a hammering neural network", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150949

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