On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing. - Volodymyr I. Ponomaryov; Yuriy V. Shkvarko (Modelling the Innovation, 1990)

Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media. - Yuriy V. Shkvarko; Alexey S. Netjukhailo (CAIP, 1995)

System fusion in passive sensing using a modified hopfield network. - Yuriy V. Shkvarko; Yuriy S. Shmaliy; René Jaime-Rivas; Miguel Torres-Cisneros (J. Frankl. Inst., 2001)

Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach. - Yuriy V. Shkvarko (IEEE Trans. Signal Process., 2002)

Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods. - Luis Javier Morales-Mendoza; Yuriy V. Shkvarko; René Fabián Vázquez-Bautista (IGARSS, 2003)

Superresolution of targets on the multi-grade scene: a spectral positional invariance-based approach. - J. L. Ponce-Davalos; Yuriy V. Shkvarko (IGARSS, 2003)

Aggregating the statistical estimation and variational analysis methods in radar imagery. - René Fabián Vázquez-Bautista; Yuriy V. Shkvarko; Luis J. Morales-Mendoza (IGARSS, 2003)

Neural Network-Based Signal Processing for Enhancing the Multi-Sensor Remote Sensing Imagery. - Yuriy V. Shkvarko; José Luis Leyva Montiel; Luis Rizo Domínguez; Joaquín Acosta Salas (CONIELECOMP, 2004)

The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery. - R. F. Vázquez-Bautista; Yuriy V. Shkvarko; Luis J. Morales-Mendoza; Luis Rizo Domínguez (CONIELECOMP, 2004)

Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory. - Yuriy V. Shkvarko (IEEE Trans. Geosci. Remote. Sens., 2004)

Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part II: implementation and performance issues. - Yuriy V. Shkvarko (IEEE Trans. Geosci. Remote. Sens., 2004)

Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data. - Yuriy V. Shkvarko; José Luis Leyva Montiel; Ivan E. Villalon-Turrubiates (ICIP, 2006)

End-User-Oriented Multisource Information Fusion for Resource Management with Remote Sensing Imagery. - Yuriy Shkvarko; José Luis Leyva Montiel; Ramon Barajas Garibay (IGARSS, 2006)

From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging. - Yuriy Shkvarko (EURASIP J. Adv. Signal Process., 2006)

Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing. - Yuriy Shkvarko; Ivan E. Villalon-Turrubiates (ACIVS, 2007)

Fusion of Bayesian Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging. - Yuriy Shkvarko; René Fabián Vázquez-Bautista; Ivan E. Villalon-Turrubiates (ACIVS, 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. - Yuriy Shkvarko (DSP, 2007)

Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery. - Yuriy V. Shkvarko; Juan Gutierrez; Luis G. Guerrero (IGARSS, 2007)

Dynamical post-processing of environmental electronic maps extracted from large scale remote sensing imagery. - Ivan E. Villalon-Turrubiates; Yuriy Shkvarko (IGARSS, 2007)

Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularisation, neural computing and digital dynamic filtering. - Yuriy Shkvarko; Ivan E. Villalon-Turrubiates (Int. J. Comput. Sci. Eng., 2007)

Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm. - Yuriy V. Shkvarko; Héctor M. Pérez Meana; Alejandro Castillo Atoche (IGARSS (4), 2008)

Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays. - Alejandro Castillo Atoche; Deni Torres Román; Yuriy Shkvarko (CIARP, 2009)

Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory. - Yuriy Shkvarko; Stewart Santos; José Tuxpan (CIARP, 2009)

Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging. - Yuriy Shkvarko; José Tuxpan; Stewart Santos (CIARP, 2009)

Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery. - Alejandro Castillo Atoche; Yuriy Shkvarko; Deni Torres Román; Héctor M. Pérez Meana (J. Real Time Image Process., 2009)

Experiment Design Regularization-Based Hardware/Software Codesign for Real-Time Enhanced Imaging in Uncertain Remote Sensing Environment. - Alejandro Castillo Atoche; Deni Torres Román; Yuriy Shkvarko (EURASIP J. Adv. Signal Process., 2010)

Towards real time implementation of reconstructive signal processing algorithms using systolic arrays coprocessors. - Alejandro Castillo Atoche; Deni Torres Román; Yuriy Shkvarko (J. Syst. Archit., 2010)

Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part I: Theory. - Yuriy V. Shkvarko (IEEE Trans. Geosci. Remote. Sens., 2010)

Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part II: Adaptive Implementation and Performance Issues. - Yuriy V. Shkvarko (IEEE Trans. Geosci. Remote. Sens., 2010)

Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization. - Yuriy Shkvarko; Stewart Santos; José Tuxpan (EURASIP J. Adv. Signal Process., 2011)

Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques. - Yuriy Shkvarko; Alejandro Castillo Atoche; Deni Torres Román (Pattern Recognit. Lett., 2011)

Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems. - Yuriy Shkvarko; José Tuxpan; Stewart Santos (Sensors, 2011)

High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach. - Yuriy V. Shkvarko; José Tuxpan; Stewart Santos; Israel Yañez (IGARSS, 2012)

High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach. - Gustavo D. Martín del Campo; Yuriy V. Shkvarko; Juan I. Yañez (CONIELECOMP, 2013)

Reconstruction of remote sensing imagery via fused multimode neural network computing. - Yuriy V. Shkvarko; Stewart Santos; José Tuxpan (CONIELECOMP, 2013)

ℓ2-ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery. - Yuriy V. Shkvarko; José Tuxpan; Stewart René Santos Arce (Signal Process., 2013)

A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments. - Yuriy V. Shkvarko; Juan I. Yañez; Gustavo D. Martín del Campo-Becerra (ANNIIP, 2014)

Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems. - Yuriy Shkvarko; Joel A. Amao Oliva (CIARP, 2014)

Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments. - Joel A. Amao Oliva; Yuriy V. Shkvarko (CONIELECOMP, 2014)

Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments. - Yuriy V. Shkvarko; Juan I. Yañez; Gustavo D. Martín del Campo; V. E. Espadas (ICASSP, 2014)

Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames. - Juan I. Yañez; Yuriy V. Shkvarko; Gustavo D. Martín del Campo (IGARSS, 2014)

Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing. - Yuriy V. Shkvarko; Joel A. Amao Oliva; Juan I. Yañez (IGARSS, 2015)

Multiframe resolution recovery of radar imagery: Towards super-resolution sensing. - Yuriy Shkvarko; Juan I. Yañez-Vargas; Gustavo D. Martín del Campo (IGARSS, 2015)

Unified commutation-pruning technique for efficient computation of composite DFTs. - David Castro-Palazuelos; Modesto G. Medina-Meléndrez; Deni Torres Román; Yuriy Shkvarko (EURASIP J. Adv. Signal Process., 2015)

Intelligent neural computing-based way for multi-sensor imaging radar data fusion. - Yuriy V. Shkvarko; Josué A. López-Ruíz; Stewart René Santos Arce; Guillermo Garcia-Torales (ICPR, 2016)

Resolution enhanced SAR tomography: A nonparametric iterative adaptive approach. - Gustavo D. Martín del Campo; Andreas Reigber; Yuriy V. Shkvarko (IGARSS, 2016)

Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing. - Yuriy V. Shkvarko; Juan I. Yañez; Joel A. Amao Oliva; Gustavo D. Martín del Campo (IEEE Geosci. Remote. Sens. Lett., 2016)

Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing. - Yuriy V. Shkvarko; Joel A. Amao Oliva; Juan I. Yañez; Guillermo Garcia-Torales; Volodymyr I. Ponomaryov (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach. - Gustavo D. Martín del Campo; Yuriy V. Shkvarko; Andreas Reigber; Matteo Nannini (Remote. Sens., 2018)

Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System. - Roxana Velazquez-Pupo; Alberto Sierra-Romero; Deni Torres Román; Yuriy V. Shkvarko; Jayro Santiago-Paz; David Gómez-Gutiérrez; Daniel Robles-Valdez; Fernando Hermosillo-Reynoso; Misael Romero-Delgado (Sensors, 2018)