Rectification of refractively distorted imagery acquired through the sea surface: an image algebra formation

Mark S. Schmalz

doi:10.1117/12.23590

1 November 1990 Rectification of refractively distorted imagery acquired through the sea surface: an image algebra formation

Mark S. Schmalz

Author Affiliations +

Proceedings Volume 1350, Image Algebra and Morphological Image Processing; (1990) https://doi.org/10.1117/12.23590
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

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Mark S. Schmalz "Rectification of refractively distorted imagery acquired through the sea surface: an image algebra formation", Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); https://doi.org/10.1117/12.23590

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