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Towards the Fused Bayesian-Regularization Method for Computer-Aided Enhancement of the Remotely Sensed Imagery
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Author(s): Yuriy V. Shkvarko (CINVESTAV of the IPN, Mexico)and José Luis Leyva-Montiel (CINVESTAV of the IPN, Mexico)
Copyright: 2004
Pages: 3
Source title:
Innovations Through Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-261-9.ch206
ISBN13: 9781616921255
EISBN13: 9781466665347
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Abstract
In this paper, we address a new approach to solving the ill-posed nonlinear inverse problem of reconstruction of the radar images of the wavefield sources distributed in the environment via processing the remotely sensed data signals distorted in the stochastic measurement channel. By exploiting the idea of combining the Bayesian estimation theory and descriptive regularization techniques we address a new fused Bayesian-regularization method for image enhancement as it is required for computer-aided imagery with remotely sensed data.
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