Y.V. Shkvarko

Neural network computational technique for high-resolution remote sensing image reconstruction with system fusion

Y.V. Shkvarko, J.L. Leyva-Montiel, I.E. Villalon-Turrubiates, 2005, 1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005..

Theoretical aspects of array radar imaging via fusing the experiment design and regularization techniques

Y.V. Shkvarko, J.L. Leyva-Montiel, 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

Unification of Descriptive Experiment Design and Worst-Case Performance Optimization-Adapted Regularization Paradigms for High-Resolution Reconstruction of Radar Imagery

Y.V. Shkvarko, 2007, 2007 International Conference on Electromagnetics in Advanced Applications.

Descriptive experiment design unified with worst-case performance optimization-adapted regularization for high-resolution radar/SAR imaging

Y.V. Shkvarko, 2008, 2008 IEEE Radar Conference.

Unified Bayesian-experiment design regularization technique for high-resolution reconstruction of the remote sensing imagery

Y.V. Shkvarko, I.E. Villalon-Turrubiates, 2005, 1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005..

Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods

Y.V. Shkvarko, L.J. Morales-Mendoza, R.F. Vazquez-Bautista, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).