Shkvarko, Y.
* 2009: Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery
* 2009: Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory
* 2009: Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays
* 2009: Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging
* 2011: Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques
* 2014: Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems
Includes: Shkvarko, Y. Shkvarko, Y.[Yuriy]
Shkvarko, Y.V.[Yuri V.]
* 1995: Fusion of Bayesian estimation and MTF inversion techniques for improved array imaging in scattering media
* 2004: Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part I: Theory
* 2004: Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part II: Implementation and Performance Issues
* 2006: Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data
* 2007: Fusion of Bayesian Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging
* 2007: Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing
* 2010: Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part I: Theory
* 2010: Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part II: Adaptive Implementation and Performance Issues
* 2016: Intelligent neural computing-based way for multi-sensor imaging radar data fusion
* 2018: TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach
Includes: Shkvarko, Y.V.[Yuri V.] Shkvarko, Y.V. Shkvarko, Y.V.[Yuriy V.]
10 for Shkvarko, Y.V.