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Disambiguation of "Shkvarko, Yuriy V."

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Intelligent neural computing-based way for multi-sensor imaging radar data fusion.

, , , and . ICPR, page 757-762. IEEE, (2016)

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Yuriy Skrinsky

Yuriy Maystrenko

Yuriy Mokrousov

Yuriy Dedkov

Yuriy Tsepkovskiy

 

Other publications of authors with the same name

Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data., , and . ICIP, page 3241-3244. IEEE, (2006)Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory.. IEEE Trans. Geosci. Remote. Sens., 42 (5): 923-931 (2004)Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments., , , and . ICASSP, page 784-788. IEEE, (2014)Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part I: Theory.. IEEE Trans. Geosci. Remote. Sens., 48 (1-1): 82-95 (2010)Intelligent neural computing-based way for multi-sensor imaging radar data fusion., , , and . ICPR, page 757-762. IEEE, (2016)The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery., , , and . CONIELECOMP, page 272-276. IEEE Computer Society, (2004)On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing., and . Modelling the Innovation, page 453-460. North-Holland, (1990)A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments., , and . ANNIIP, page 19-26. SciTePress, (2014)Reconstruction of remote sensing imagery via fused multimode neural network computing., , and . CONIELECOMP, page 244-248. IEEE, (2013)High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach., , and . CONIELECOMP, page 225-229. IEEE, (2013)