Yuriy V. Shkvarko

30 papers B 2C 9Misc 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2018 J jnl
TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach.
Remote. Sens.
Gustavo D. Martín del Campo, Yuriy V. Shkvarko, Andreas Reigber, Matteo Nannini
2018 J jnl
Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System.
Sensors
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
2016 B conf
Intelligent neural computing-based way for multi-sensor imaging radar data fusion.
ICPR
Yuriy V. Shkvarko, Josué A. López-Ruíz, Stewart René Santos Arce, Guillermo Garcia-Torales
2016 J jnl
Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing.
IEEE Geosci. Remote. Sens. Lett.
Yuriy V. Shkvarko, Juan I. Yañez, Joel A. Amao Oliva, Gustavo D. Martín del Campo
2016 C conf
Resolution enhanced SAR tomography: A nonparametric iterative adaptive approach.
IGARSS
Gustavo D. Martín del Campo, Andreas Reigber, Yuriy V. Shkvarko
2016 J jnl
Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuriy V. Shkvarko, Joel A. Amao Oliva, Juan I. Yañez, Guillermo Garcia-Torales, Volodymyr I. Ponomaryov
2015 C conf
Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing.
IGARSS
Yuriy V. Shkvarko, Joel A. Amao Oliva, Juan I. Yañez
2014 — conf
A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments.
ANNIIP
Yuriy V. Shkvarko, Juan I. Yañez, Gustavo D. Martín del Campo-Becerra
2014 Misc conf
Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments.
ICASSP
Yuriy V. Shkvarko, Juan I. Yañez, Gustavo D. Martín del Campo, V. E. Espadas
2014 — conf
Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments.
CONIELECOMP
Joel A. Amao Oliva, Yuriy V. Shkvarko
2014 C conf
Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames.
IGARSS
Juan I. Yañez, Yuriy V. Shkvarko, Gustavo D. Martín del Campo
2013 — conf
High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach.
CONIELECOMP
Gustavo D. Martín del Campo, Yuriy V. Shkvarko, Juan I. Yañez
2013 — conf
Reconstruction of remote sensing imagery via fused multimode neural network computing.
CONIELECOMP
Yuriy V. Shkvarko, Stewart Santos, José Tuxpan
2012 C conf
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach.
IGARSS
Yuriy V. Shkvarko, José Tuxpan, Stewart Santos, Israel Yañez
2010 J jnl
Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part I: Theory.
IEEE Trans. Geosci. Remote. Sens.
Yuriy V. Shkvarko
2010 J jnl
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.
Yuriy V. Shkvarko
2008 — conf
Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm.
IGARSS (4)
Yuriy V. Shkvarko, Héctor M. Pérez Meana, Alejandro Castillo Atoche
2007 C conf
Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery.
IGARSS
Yuriy V. Shkvarko, Juan Gutierrez, Luis G. Guerrero
2006 B conf
Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data.
ICIP
Yuriy V. Shkvarko, José Luis Leyva Montiel, Ivan E. Villalon-Turrubiates
2004 — conf
Neural Network-Based Signal Processing for Enhancing the Multi-Sensor Remote Sensing Imagery.
CONIELECOMP
Yuriy V. Shkvarko, José Luis Leyva Montiel, Luis Rizo Domínguez, Joaquín Acosta Salas
2004 — conf
The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery.
CONIELECOMP
R. F. Vázquez-Bautista, Yuriy V. Shkvarko, Luis J. Morales-Mendoza, Luis Rizo Domínguez
2004 J jnl
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory.
IEEE Trans. Geosci. Remote. Sens.
Yuriy V. Shkvarko
2004 J jnl
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part II: implementation and performance issues.
IEEE Trans. Geosci. Remote. Sens.
Yuriy V. Shkvarko
2003 C conf
Aggregating the statistical estimation and variational analysis methods in radar imagery.
IGARSS
René Fabián Vázquez-Bautista, Yuriy V. Shkvarko, Luis J. Morales-Mendoza
2003 C conf
Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods.
IGARSS
Luis Javier Morales-Mendoza, Yuriy V. Shkvarko, René Fabián Vázquez-Bautista
2003 C conf
Superresolution of targets on the multi-grade scene: a spectral positional invariance-based approach.
IGARSS
J. L. Ponce-Davalos, Yuriy V. Shkvarko
2002 J jnl
Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach.
IEEE Trans. Signal Process.
Yuriy V. Shkvarko
2001 J jnl
System fusion in passive sensing using a modified hopfield network.
J. Frankl. Inst.
Yuriy V. Shkvarko, Yuriy S. Shmaliy, René Jaime-Rivas, Miguel Torres-Cisneros
1995 C conf
Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media.
CAIP
Yuriy V. Shkvarko, Alexey S. Netjukhailo
1990 — conf
On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing.
Modelling the Innovation
Volodymyr I. Ponomaryov, Yuriy V. Shkvarko