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Proceedings Paper

Rectification of refractively distorted imagery acquired through the sea surface: an image algebra formation
Author(s): Mark S. Schmalz
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Paper Abstract

A deformation-tolerant method of rectifying imagery distorted by refraction at an arbitrarily-corrugated ocean surface is presented which employs spatial transformations expressed in terms of the Image Algebra (IA). Derived from concepts of set theory and functional mapping inherent in abstract mathematics the IA exhibits advantages of clear concise formulation and inherent parallelism. In this study a ray-tracing model of ocean optical propagation is derived from physical relationships among optical system parameters sea surface topography and sensed object features. Theory specific to extraction of sea topography via LIDAR (lightwave radar) is presented. Additionally a method is proposed for the reduction of errors due to multiple scattering which employs linear-algebraic inversion of generalized space-invariant convolution templates derived from blur functions. The image restoration algorithm is evaluated in terms of residual error computational cost and suitability for parallel implementation.

Paper Details

Date Published: 1 November 1990
PDF: 22 pages
Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); doi: 10.1117/12.23590
Show Author Affiliations
Mark S. Schmalz, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 1350:
Image Algebra and Morphological Image Processing
Paul D. Gader, Editor(s)

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