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Proceedings Paper

Satellite image processing using a hammering neural network
Author(s): David W. Gilbert; Steven C. Gustafson
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Paper 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.

Paper Details

Date Published: 27 August 1993
PDF: 14 pages
Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150949
Show Author Affiliations
David W. Gilbert, Univ. of Dayton (United States)
Steven C. Gustafson, Univ. of Dayton (United States)

Published in SPIE Proceedings Vol. 1961:
Visual Information Processing II
Friedrich O. Huck; Richard D. Juday, Editor(s)

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