Yuriy Shkvarko

发表

Towards real time implementation of reconstructive signal processing algorithms using systolic arrays coprocessors

Deni Torres Román, Alejandro Castillo Atoche, Yuriy Shkvarko, 2010, J. Syst. Archit..

Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing

Yuriy Shkvarko, Joel A. Amao Oliva, Juan I. Yañez-Vargas, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing

Volodymyr I. Ponomaryov, Yuriy Shkvarko, 1990, Modelling the Innovation.

Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach

Yuriy Shkvarko, 2002, IEEE Trans. Signal Process..

Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2011, Sensors.

Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2009, CIARP.

Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems

Yuriy Shkvarko, Joel A. Amao Oliva, 2014, CIARP.

Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing

Volodymyr I. Ponomaryov, Yuriy Shkvarko, Joel A. Amao Oliva, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2009, CIARP.

A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments

Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo-Becerra, 2014, ANNIIP.

Optimization of multisource information fusion for resource management with remote sensing imagery: an aggregate regularization method with neural network implementation

Sergiy Butenko, Yuriy Shkvarko, 2006, SPIE Defense + Commercial Sensing.

Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques

Deni Torres Román, Yuriy Shkvarko, Alejandro Castillo Atoche, 2011, Pattern Recognit. Lett..

End-User-Oriented Multisource Information Fusion for Resource Management with Remote Sensing Imagery

Yuriy Shkvarko, José Luis Leyva Montiel, Ramon Barajas Garibay, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Fusion of Bayesian Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging

Ivan E. Villalon-Turrubiates, Yuriy Shkvarko, René Fabián Vázquez-Bautista, 2007, ACIVS.

Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays

Deni Torres Román, Alejandro Castillo Atoche, Yuriy Shkvarko, 2009, CIARP.

Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2011, EURASIP J. Adv. Signal Process..

Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery

Yuriy Shkvarko, Juan Gutierrez, Luis G. Guerrero, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media

Yuriy Shkvarko, Alexey S. Netjukhailo, 1995, CAIP.

Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm

Héctor M. Pérez Meana, Alejandro Castillo Atoche, Yuriy Shkvarko, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data—Part I: Theory

Yuriy Shkvarko, 2010, IEEE Transactions on Geoscience and Remote Sensing.

TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach

Andreas Reigber, Matteo Nannini, Yuriy Shkvarko, 2018, Remote. Sens..

Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory

Yuriy Shkvarko, Y. Shkvarko, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Resolution enhanced SAR tomography: A nonparametric iterative adaptive approach

Andreas Reigber, Yuriy Shkvarko, Gustavo D. Martín del Campo-Becerra, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Enhanced Radar Imaging in Uncertain Environment: A Descriptive Experiment Design Regularization Approach

Hector Perez-Meana, Yuriy Shkvarko, Alejandro Castillo-Atoche, 2008 .

ℓ2-ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2013, Signal Process..

Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System

David Gómez-Gutiérrez, Deni Torres Román, Yuriy Shkvarko, 2018, Sensors.

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

Yuriy Shkvarko, Stewart René Santos Arce, Guillermo Garcia-Torales, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Dynamical post-processing of environmental electronic maps extracted from large scale remote sensing imagery

Ivan E. Villalon-Turrubiates, Yuriy Shkvarko, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery

Héctor M. Pérez Meana, Deni Torres Román, Alejandro Castillo Atoche, 2009, Journal of Real-Time Image Processing.

High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach

Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo-Becerra, 2013, CONIELECOMP 2013, 23rd International Conference on Electronics, Communications and Computing.

Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments

Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo-Becerra, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data

Ivan E. Villalon-Turrubiates, Yuriy Shkvarko, José Luis Leyva Montiel, 2006, 2006 International Conference on Image Processing.

Image Super-Resolution via Block Extraction and Sparse Representation

Yuriy Shkvarko, Volodymyr Ponomaryov, Rogelio Reyes Reyes, 2017, IEEE Latin America Transactions.

Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments

Yuriy Shkvarko, Joel A. Amao Oliva, 2014, 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Reconstruction of remote sensing imagery via fused multimode neural network computing

Yuriy Shkvarko, Stewart René Santos Arce, José Tuxpan, 2013, CONIELECOMP 2013, 23rd International Conference on Electronics, Communications and Computing.

Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing

Yuriy Shkvarko, Joel A. Amao Oliva, Juan I. Yañez-Vargas, 2016, IEEE Geoscience and Remote Sensing Letters.

Experiment Design Regularization-Based Hardware/Software Codesign for Real-Time Enhanced Imaging in Uncertain Remote Sensing Environment

Deni Torres Román, Alejandro Castillo Atoche, Yuriy Shkvarko, 2010, EURASIP J. Adv. Signal Process..

Multiframe resolution recovery of radar imagery: Towards super-resolution sensing

Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo-Becerra, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

The fused Bayesian maximum entropy-variational analysis method for computer reconstruction of remote sensing imagery

Luis Rizo Domínguez, Yuriy Shkvarko, Luis Javier Morales-Mendoza, 2004, 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004..

Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames

Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo-Becerra, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularisation, neural computing and digital dynamic filtering

Ivan E. Villalon-Turrubiates, Yuriy Shkvarko, Y. Shkvarko, 2007, Int. J. Comput. Sci. Eng..

From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging

Yuriy Shkvarko, 2006, EURASIP J. Adv. Signal Process..

Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing

Ivan E. Villalon-Turrubiates, Yuriy Shkvarko, 2007, ACIVS.

High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach

Yuriy Shkvarko, Stewart René Santos Arce, Juan I. Yañez-Vargas, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

System fusion in passive sensing using a modified hopfield network

Yuriy S. Shmaliy, Yuriy Shkvarko, Miguel Torres-Cisneros, 2001, J. Frankl. Inst..

Neural network-based signal processing for enhancing the multi-sensor remote sensing imagery

Luis Rizo Domínguez, Yuriy Shkvarko, José Luis Leyva Montiel, 2004, 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004..

Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part II: implementation and performance issues

Yuriy Shkvarko, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data—Part II: Adaptive Implementation and Performance Issues

Yuriy Shkvarko, Y. Shkvarko, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Unified commutation-pruning technique for efficient computation of composite DFTs

Deni Torres Román, Yuriy Shkvarko, Modesto G. Medina-Meléndrez, 2015, EURASIP J. Adv. Signal Process..

A comparative study of tomographic SAR focusing methods

Andreas Reigber, Matteo Nannini, Yuriy Shkvarko, 2015, 2015 European Radar Conference (EuRAD).