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The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery
Veracruz, Mexico February 16-February 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECC.2004.126958514th International Conference on Elec ...
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R. F. V?zquex-Bautista, Y. V. Shkvarko, L. J. Morales-Mendoza, L. Rizo-Dom?nguez, "The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery," Electronics, Communications, and Computers, International Conference on, pp. 272, 14th International Conference on Electronics, Communications and Computers, 2004.
 
 
BibTex
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@article{ 10.1109/ICECC.2004.1269585,
author = {R. F. V?zquex-Bautista and Y. V. Shkvarko and L. J. Morales-Mendoza and L. Rizo-Dom?nguez},
title = {The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery},
journal ={Electronics, Communications, and Computers, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2074-X},
pages = {272},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICECC.2004.1269585},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Electronics, Communications, and Computers, International Conference on
TI - The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery
SN - 0-7695-2074-X
SP
EP
A1 - R. F. V?zquex-Bautista,
A1 - Y. V. Shkvarko,
A1 - L. J. Morales-Mendoza,
A1 - L. Rizo-Dom?nguez,
PY - 2004
KW - null
VL - 0
JA - Electronics, Communications, and Computers, International Conference on
ER -
 
R. F. V?zquex-Bautista, CINVESTAV del IPN, Unidad Guadalajara
Y. V. Shkvarko, CINVESTAV del IPN, Unidad Guadalajara
L. J. Morales-Mendoza, CINVESTAV del IPN, Unidad Guadalajara
L. Rizo-Dom?nguez, CINVESTAV del IPN, Unidad Guadalajara
In this paper, we address the aggregated Bayesian maximum entropy-variational analysis (BMEVA)-based algorithm for high resolution radar image enhancement and denoising. The use of the variational analysis (VA) approach is formalized by imposing the metrics structures in the corresponding signal spaces. New formalism for combining the Bayesian maximum entropy (BME) strategy with the VA pardigm is developed. The advantages in the image enhancement and denoising achieved using the proposed BMEVA method is illustrated through the numerical simulators.
Citation:
R. F. V?zquex-Bautista, Y. V. Shkvarko, L. J. Morales-Mendoza, L. Rizo-Dom?nguez, "The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery," conielecomp, pp.272, 14th International Conference on Electronics, Communications and Computers, 2004
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