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Yuriy Shkvarko
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2010 – 2019
- 2018
- [j20]Gustavo D. Martín del Campo
, Yuriy V. Shkvarko, Andreas Reigber
TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach. Remote. Sens. 10(11): 1822 (2018) - [j19]Roxana Velazquez-Pupo
Vehicle Detection with Occlusion Handling, Tracking, and OC-SVM Classification: A High Performance Vision-Based System. Sensors 18(2): 374 (2018) - 2016
- [j18]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): 152-156 (2016) - [j17]Yuriy V. Shkvarko
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): 5467-5481 (2016) - [c30]Yuriy V. Shkvarko, Josué A. López-Ruíz
Intelligent neural computing-based way for multi-sensor imaging radar data fusion. ICPR 2016: 757-762 - [c29]Gustavo D. Martín del Campo, Andreas Reigber, Yuriy V. Shkvarko:
Resolution enhanced SAR tomography: A nonparametric iterative adaptive approach. IGARSS 2016: 3238-3241 - 2015
- [j16]David Castro-Palazuelos
Unified commutation-pruning technique for efficient computation of composite DFTs. EURASIP J. Adv. Signal Process. 2015: 100 (2015) - [c28]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: 2433-2436 - [c27]Yuriy Shkvarko, Juan I. Yañez-Vargas, Gustavo D. Martín del Campo:
Multiframe resolution recovery of radar imagery: Towards super-resolution sensing. IGARSS 2015: 4487-4490 - 2014
- [c26]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: 19-26 - [c25]Yuriy Shkvarko, Joel A. Amao Oliva:
Descriptive Experiment Design Restructured MVDR Beamforming Technique for Enhanced Imaging with Unfocused SAR Systems. CIARP 2014: 965-972 - [c24]Joel A. Amao Oliva, Yuriy V. Shkvarko:
Spatially adaptive regularization for feature enhanced imaging in harsh sensing environments. CONIELECOMP 2014: 1-6 - [c23]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: 784-788 - [c22]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: 133-136 - 2013
- [j15]Yuriy V. Shkvarko, José Tuxpan
ℓ2-ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery. Signal Process. 93(12): 3553-3566 (2013) - [c21]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: 225-229 - [c20]Yuriy V. Shkvarko, Stewart Santos, José Tuxpan
Reconstruction of remote sensing imagery via fused multimode neural network computing. CONIELECOMP 2013: 244-248 - 2012
- [c19]Yuriy V. Shkvarko, José Tuxpan
High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach. IGARSS 2012: 6967-6970 - 2011
- [j14]Yuriy Shkvarko, Stewart Santos, José Tuxpan
Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization. EURASIP J. Adv. Signal Process. 2011: 85 (2011) - [j13]Yuriy Shkvarko, Alejandro Castillo Atoche
Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques. Pattern Recognit. Lett. 32(16): 2197-2205 (2011) - [j12]Yuriy Shkvarko, José Tuxpan
Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems. Sensors 11(5): 4483-4511 (2011) - 2010
- [j11]Alejandro Castillo Atoche
Experiment Design Regularization-Based Hardware/Software Codesign for Real-Time Enhanced Imaging in Uncertain Remote Sensing Environment. EURASIP J. Adv. Signal Process. 2010 (2010) - [j10]Alejandro Castillo Atoche
Towards real time implementation of reconstructive signal processing algorithms using systolic arrays coprocessors. J. Syst. Archit. 56(8): 327-339 (2010) - [j9]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): 82-95 (2010) - [j8]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): 96-111 (2010)
2000 – 2009
- 2009
- [j7]Alejandro Castillo Atoche
Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery. J. Real Time Image Process. 4(3): 261-272 (2009) - [c18]Yuriy Shkvarko, José Tuxpan
Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging. CIARP 2009: 1013-1020 - [c17]Yuriy Shkvarko, Stewart Santos, José Tuxpan
Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory. CIARP 2009: 1021-1028 - [c16]Alejandro Castillo Atoche
Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays. CIARP 2009: 1070-1077 - 2008
- [c15]Yuriy V. Shkvarko, Héctor M. Pérez Meana, Alejandro Castillo Atoche
Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm. IGARSS (4) 2008: 1328-1331 - 2007
- [j6]Yuriy Shkvarko, Ivan E. Villalon-Turrubiates
Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularisation, neural computing and digital dynamic filtering. Int. J. Comput. Sci. Eng. 3(3): 219-231 (2007) - [c14]Yuriy Shkvarko, René Fabián Vázquez-Bautista, Ivan E. Villalon-Turrubiates
Fusion of Bayesian Maximum Entropy Spectral Estimation and Variational Analysis Methods for Enhanced Radar Imaging. ACIVS 2007: 109-120 - [c13]Yuriy Shkvarko, Ivan E. Villalon-Turrubiates
Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing. ACIVS 2007: 865-876 - [c12]Yuriy Shkvarko:
Finite Array Observations-Adapted Regularization Unified with Descriptive Experiment Design Approach for High-Resolution Spatial Power Spectrum Estimation with Application to Radar/SAR Imaging. DSP 2007: 79-82 - [c11]Ivan E. Villalon-Turrubiates
Dynamical post-processing of environmental electronic maps extracted from large scale remote sensing imagery. IGARSS 2007: 1485-1488 - [c10]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: 1561-1564 - 2006
- [j5]Yuriy Shkvarko:
From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging. EURASIP J. Adv. Signal Process. 2006 (2006) - [c9]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: 3241-3244 - [c8]Yuriy Shkvarko, José Luis Leyva Montiel, Ramon Barajas Garibay:
End-User-Oriented Multisource Information Fusion for Resource Management with Remote Sensing Imagery. IGARSS 2006: 2163-2166 - 2004
- [j4]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): 923-931 (2004) - [j3]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): 932-940 (2004) - [c7]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: 168-173 - [c6]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: 272-276 - 2003
- [c5]René Fabián Vázquez-Bautista, Yuriy V. Shkvarko, Luis J. Morales-Mendoza:
Aggregating the statistical estimation and variational analysis methods in radar imagery. IGARSS 2003: 2008-2010 - [c4]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: 4001-4003 - [c3]J. L. Ponce-Davalos, Yuriy V. Shkvarko:
Superresolution of targets on the multi-grade scene: a spectral positional invariance-based approach. IGARSS 2003: 4047-4049 - 2002
- [j2]Yuriy V. Shkvarko:
Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach. IEEE Trans. Signal Process. 50(9): 2333-2346 (2002) - 2001
- [j1]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): 405-427 (2001)
1990 – 1999
- 1995
- [c2]Yuriy V. Shkvarko, Alexey S. Netjukhailo:
Fusion of Bayesian Estimation and MTF Inversion Techniques for Improved Array Imaging in Scattering Media. CAIP 1995: 526-531 - 1990
- [c1]Volodymyr I. Ponomaryov, Yuriy V. Shkvarko:
On One Class of Optimal Restoration Algorithms for Multidimensional Image Processing. Modelling the Innovation 1990: 453-460
Coauthor Index
aka: Gustavo D. Martín del Campo
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