Algorithms of aerospace photo processing in a quasi-two-dimensional non-trygonometrical spectral space

Abstract

The paper employs theoretic and methodological generalization in order to develop new algorithms of orthogonal transformation in the field of aerospace photo processing. Employing systems of Vilenkin-Chrestenson functions (VCF) in a non-trigonometrical space, we obtain a minimally possible shape of their construction. The paper describes algorithms and filtration samples (quasi-two- dimensional filtering and correlation analysis of aerospace photos when applied to distortions and image noise.