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Proceedings Paper

A new type of remote sensors which allow directly forming certain statistical estimates of images
Author(s): Boris Podlaskin; Elena Guk; Andrey Karpenko
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Paper Abstract

A new approach to the problems of statistical and structural pattern recognition, a signal processing and image analysis techniques has been considered. These problems are extremely important for tasks being solved by airborne and space borne remote sensing systems. Development of new remote sensors for image and signal processing is inherently connected with a possibility of statistical processing of images. Fundamentally new optoelectronic sensors "Multiscan" have been suggested in the present paper. Such sensors make it possible to form directly certain statistical estimates, which describe completely enough the different types of images. The sensors under discussion perform the Lebesgue-Stieltjes signal integration rather than the Cauchy-Riemann one. That permits to create integral functionals for determining statistical features of images. The use of the integral functionals for image processing provides a good agreement of obtained statistical estimates with required image information features. The Multiscan remote sensors allows to create a set of integral moments of an input image right up to high-order integral moments, to form a quantile representation of an input image, which provides a count number limited texture, to form a median, which provides a localisation of a low-contrast horizon line in fog, localisation of water flow boundary etc. This work presents both the description of the design concept of the new remote sensor and mathematical apparatus providing the possibility to create input image statistical features and integral functionals.

Paper Details

Date Published: 23 October 2010
PDF: 12 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78300X (23 October 2010); doi: 10.1117/12.863626
Show Author Affiliations
Boris Podlaskin, Ioffe Physico-Technical Institute (Russian Federation)
Elena Guk, Ioffe Physico-Technical Institute (Russian Federation)
Andrey Karpenko, Ioffe Physico-Technical Institute (Russian Federation)


Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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