Yuriy Shkvarko
Orcid: 0000-0003-4766-9548
According to our database1,
Yuriy Shkvarko
authored at least 50 papers
between 1990 and 2018.
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Bibliography
2018
Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System.
Sensors, 2018
TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach.
Remote. Sens., 2018
2016
Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing.
IEEE Geosci. Remote. Sens. Lett., 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
EURASIP J. Adv. Signal Process., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments.
Proceedings of the IEEE International Conference on Acoustics, 2014
Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments.
Proceedings of the 24th International Conference on Electronics, 2014
Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments.
Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing, 2014
2013
<i>ℓ</i><sub>2</sub>-<i>ℓ</i><sub>1</sub> Structured descriptive experiment design regularization based enhancement of fractional SAR imagery.
Signal Process., 2013
Reconstruction of remote sensing imagery via fused multimode neural network computing.
Proceedings of the 23rd International Conference on Electronics, 2013
High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach.
Proceedings of the 23rd International Conference on Electronics, 2013
2012
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems.
Sensors, 2011
Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques.
Pattern Recognit. Lett., 2011
Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization.
EURASIP J. Adv. Signal Process., 2011
2010
Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part II: Adaptive Implementation and Performance Issues.
IEEE Trans. Geosci. Remote. Sens., 2010
Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part I: Theory.
IEEE Trans. Geosci. Remote. Sens., 2010
Towards real time implementation of reconstructive signal processing algorithms using systolic arrays coprocessors.
J. Syst. Archit., 2010
Experiment Design Regularization-Based Hardware/Software Codesign for Real-Time Enhanced Imaging in Uncertain Remote Sensing Environment.
EURASIP J. Adv. Signal Process., 2010
2009
Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery.
J. Real Time Image Process., 2009
Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging.
Proceedings of the Progress in Pattern Recognition, 2009
Proceedings of the Progress in Pattern Recognition, 2009
Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays.
Proceedings of the Progress in Pattern Recognition, 2009
2008
Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularisation, neural computing and digital dynamic filtering.
Int. J. Comput. Sci. Eng., 2007
Dynamical post-processing of environmental electronic maps extracted from large scale remote sensing imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Finite Array Observations-Adapted Regularization Unified with Descriptive Experiment Design Approach for High-Resolution Spatial Power Spectrum Estimation with Application to Radar/SAR Imaging.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007
Fusion of Bayesian Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007
Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007
2006
From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging.
EURASIP J. Adv. Signal Process., 2006
End-User-Oriented Multisource Information Fusion for Resource Management with Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data.
Proceedings of the International Conference on Image Processing, 2006
2004
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part II: implementation and performance issues.
IEEE Trans. Geosci. Remote. Sens., 2004
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory.
IEEE Trans. Geosci. Remote. Sens., 2004
The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery.
Proceedings of the 14th International Conference on Electronics, 2004
Neural Network-Based Signal Processing for Enhancing the Multi-Sensor Remote Sensing Imagery.
Proceedings of the 14th International Conference on Electronics, 2004
2003
Aggregating the statistical estimation and variational analysis methods in radar imagery.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Superresolution of targets on the multi-grade scene: a spectral positional invariance-based approach.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
2002
Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach.
IEEE Trans. Signal Process., 2002
2001
J. Frankl. Inst., 2001
1995
Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995
1990
On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing.
Proceedings of the Modelling the Innovation: Communications, 1990