<title>Satellite image processing using a hammering neural network</title>

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.