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Proceedings Paper

Radar imaging of earth surface through scattering atmosphere using regularization-based signal restoration methods
Author(s): Yuri V. Shkvarko; Alexey S. Netjukhailo
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Paper Abstract

In this paper we address a new approach to the remote sensing imaging problems for airborne/spaceborne radar/SAR imaging systems stated and treated as ill-posed inverse problems of restoring of extended object signals distorted in a random scattering medium. The developed approach is based on combining the Bayesian estimation technique for signal restoration problems with the constrained regularization method for the inversion of the signal formation operator of the stochastic data measurement channel. The model based fusion of diverse information on data, system and image properties enables us to conceptualize a system/problem-oriented formalism of a problem, and develop the robust numerical technique for earth surface imaging in the scattering atmosphere with an improved resolution and accuracy. Some computer simulation results are also provided to illustrate the proposed approach.

Paper Details

Date Published: 17 November 1995
PDF: 8 pages
Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995);
Show Author Affiliations
Yuri V. Shkvarko, Kharkov State Polytechnical Univ. (Ukraine)
Alexey S. Netjukhailo, Kharkov State Polytechnical Univ. (Ukraine)

Published in SPIE Proceedings Vol. 2579:
Image and Signal Processing for Remote Sensing II
Jacky Desachy, Editor(s)

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