Yuriy V. Shkvarko

Publication Activity (10 Years)

Years Active: 1990-2018
Publications (10 Years): 6

Top Topics

Tikhonov Regularization

Regularization Framework

Remote Sensing Imagery

Measurement Data

Top Venues

Publications

Gustavo D. Martín del Campo, Yuriy V. Shkvarko, Andreas Reigber, Matteo Nannini
TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach. Remote. Sens. 10 (11) (2018)
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
Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System. Sensors 18 (2) (2018)
Yuriy V. Shkvarko, Juan I. Yañez, Joel A. Amao Oliva, Gustavo D. Martín del Campo
Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing. IEEE Geosci. Remote. Sens. Lett. 13 (2) (2016)
Yuriy V. Shkvarko, Josué A. López-Ruíz, Stewart René Santos Arce, Guillermo Garcia-Torales
Intelligent neural computing-based way for multi-sensor imaging radar data fusion. ICPR (2016)
Yuriy V. Shkvarko, Joel A. Amao Oliva, Juan I. Yañez, Guillermo Garcia-Torales, Volodymyr I. Ponomaryov
Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (12) (2016)
Gustavo D. Martín del Campo, Andreas Reigber, Yuriy V. Shkvarko
Resolution enhanced SAR tomography: A nonparametric iterative adaptive approach. IGARSS (2016)
Yuriy V. Shkvarko, Joel A. Amao Oliva, Juan I. Yañez
Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing. IGARSS (2015)
Yuriy V. Shkvarko, Juan I. Yañez, Gustavo D. Martín del Campo, V. E. Espadas
Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments. ICASSP (2014)
Yuriy V. Shkvarko, Juan I. Yañez, Gustavo D. Martín del Campo-Becerra
A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments. ANNIIP (2014)
Joel A. Amao Oliva, Yuriy V. Shkvarko
Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments. CONIELECOMP (2014)
Juan I. Yañez, Yuriy V. Shkvarko, Gustavo D. Martín del Campo
Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames. IGARSS (2014)
Yuriy V. Shkvarko, José Tuxpan, Stewart René Santos Arce
Structured descriptive experiment design regularization based enhancement of fractional SAR imagery. Signal Process. 93 (12) (2013)
Yuriy V. Shkvarko, Stewart Santos, José Tuxpan
Reconstruction of remote sensing imagery via fused multimode neural network computing. CONIELECOMP (2013)
Gustavo D. Martín del Campo, Yuriy V. Shkvarko, Juan I. Yañez
High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach. CONIELECOMP (2013)
Yuriy V. Shkvarko, José Tuxpan, Stewart Santos, Israel Yañez
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach. IGARSS (2012)
Yuriy V. Shkvarko
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. 48 (1-1) (2010)
Yuriy V. Shkvarko
Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data - Part I: Theory. IEEE Trans. Geosci. Remote. Sens. 48 (1-1) (2010)
Yuriy V. Shkvarko, Héctor M. Pérez Meana, Alejandro Castillo Atoche
Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm. IGARSS (4) (2008)
Yuriy V. Shkvarko, Juan Gutierrez, Luis G. Guerrero
Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery. IGARSS (2007)
Yuriy V. Shkvarko, José Luis Leyva Montiel, Ivan E. Villalon-Turrubiates
Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data. ICIP (2006)
Yuriy V. Shkvarko
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part I: theory. IEEE Trans. Geosci. Remote. Sens. 42 (5) (2004)
R. F. Vázquez-Bautista, Yuriy V. Shkvarko, Luis J. Morales-Mendoza, Luis Rizo Domínguez
The Fused Bayesian Maximum Entropy-Variational Analysis Method for Computer Reconstruction of Remote Sensing Imagery. CONIELECOMP (2004)
Yuriy V. Shkvarko, José Luis Leyva Montiel, Luis Rizo Domínguez, Joaquín Acosta Salas
Neural Network-Based Signal Processing for Enhancing the Multi-Sensor Remote Sensing Imagery. CONIELECOMP (2004)
Yuriy V. Shkvarko
Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed Data-part II: implementation and performance issues. IEEE Trans. Geosci. Remote. Sens. 42 (5) (2004)
J. L. Ponce-Davalos, Yuriy V. Shkvarko
Superresolution of targets on the multi-grade scene: a spectral positional invariance-based approach. IGARSS (2003)
René Fabián Vázquez-Bautista, Yuriy V. Shkvarko, Luis J. Morales-Mendoza
Aggregating the statistical estimation and variational analysis methods in radar imagery. IGARSS (2003)
Luis Javier Morales-Mendoza, Yuriy V. Shkvarko, René Fabián Vázquez-Bautista
Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods. IGARSS (2003)
Yuriy V. Shkvarko
Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach. IEEE Trans. Signal Process. 50 (9) (2002)
Yuriy V. Shkvarko, Yuriy S. Shmaliy, René Jaime-Rivas, Miguel Torres-Cisneros
System fusion in passive sensing using a modified hopfield network. J. Frankl. Inst. 338 (4) (2001)
Yuriy V. Shkvarko, Alexey S. Netjukhailo
Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media. CAIP (1995)
Volodymyr I. Ponomaryov, Yuriy V. Shkvarko
On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing. Modelling the Innovation (1990)