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ORCIDCarlos González 0002
Person information
- affiliation (PhD 2011): Complutense University of Madrid, Department of Computer Architecture and Automatics, Spain
Other persons with the same name
- Carlos González (aka: Carlos Gonzalez) — disambiguation page
- Carlos González 0001
![[0000-0002-6709-4369]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6709-4369")
— Instituto de Automática Industrial, CSIS, Autopia Program, Center for Automation and Robotics, Madrid, Spain (and 1 more) - Carlos González-Morcillo (aka: Carlos Glez-Morcillo, Carlos González 0003) — University of Castilla-La Mancha, Real, Spain
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Journal Articles
- 2024
[j23]Pedro Palacios, Daniel Báscones, Carlos González, Daniel Mozos:
A Real-Time FPGA Implementation of the LCMV Algorithm for Target Classification in Hyperspectral Images Using LDL Decomposition. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)- 2022
- [j22]Rubén Macias, Sergio Bernabé, Daniel Báscones, Carlos González:
FPGA Implementation of a Hardware Optimized Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j21]Daniel Báscones, Carlos González, Daniel Mozos:
A Real-Time FPGA Implementation of the CCSDS 123.0-B-2 Standard. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j20]Sergio Bernabé, Carlos González, Adrián Fernández, Ujwala Bhangale:
Portability and Acceleration of Deep Learning Inferences to Detect Rapid Earthquake Damage From VHR Remote Sensing Images Using Intel OpenVINO Toolkit. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6906-6915 (2021) - 2020
- [j19]Daniel Báscones, Carlos González, Daniel Mozos:
An FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images. Remote. Sens. 12(16): 2563 (2020) - [j18]Daniel Báscones, Carlos González, Daniel Mozos:
An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm. IEEE Trans. Geosci. Remote. Sens. 58(10): 7435-7447 (2020) - 2019
- [j17]Daniel Fernandez, Carlos González, Daniel Mozos, Sebastián López:
FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images. J. Real Time Image Process. 16(5): 1395-1406 (2019) - [j16]Germán León, Carlos González, Rafael Mayo, Daniel Mozos, Enrique S. Quintana-Ortí:
Noise estimation for hyperspectral subspace identification on FPGAs. J. Supercomput. 75(3): 1323-1335 (2019) - 2018
- [j15]Carlos González, Sebastián López, Daniel Mozos, Roberto Sarmiento:
A novel FPGA-based architecture for the estimation of the virtual dimensionality in remotely sensed hyperspectral images. J. Real Time Image Process. 15(2): 297-308 (2018) - [j14]Daniel Báscones, Carlos González, Daniel Mozos:
Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000. Remote. Sens. 10(6): 907 (2018) - [j13]Daniel Báscones, Carlos González, Daniel Mozos:
FPGA Implementation of the CCSDS 1.2.3 Standard for Real-Time Hyperspectral Lossless Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1158-1165 (2018) - 2017
- [j12]Daniel Báscones, Carlos González, Daniel Mozos:
Parallel Implementation of the CCSDS 1.2.3 Standard for Hyperspectral Lossless Compression. Remote. Sens. 9(10): 973 (2017) - 2016
- [j11]Carlos González, Sergio Bernabé, Daniel Mozos, Antonio Plaza:
FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4334-4343 (2016) - 2015
- [j10]Javier Olivito, Ruben Gran, Javier Resano, Carlos González, Enrique F. Torres:
Performance and energy efficiency analysis of a Reversi player for FPGAs and General Purpose Processors. Microprocess. Microsystems 39(2): 64-73 (2015) - [j9]Carlos González, Sebastián López, Daniel Mozos, Roberto Sarmiento:
FPGA Implementation of the HySime Algorithm for the Determination of the Number of Endmembers in Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2870-2883 (2015) - 2013
- [j8]Carlos González, Sergio Sánchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza:
Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing. Integr. 46(2): 89-103 (2013) - [j7]Sebastián López, Tanya Vladimirova, Carlos González, Javier Resano, Daniel Mozos, Antonio Plaza:
The Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends. Proc. IEEE 101(3): 698-722 (2013) - 2012
- [j6]Carlos González, Javier Resano, Antonio Plaza, Daniel Mozos:
FPGA Implementation of Abundance Estimation for Spectral Unmixing of Hyperspectral Data Using the Image Space Reconstruction Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 248-261 (2012) - [j5]Carlos González, Daniel Mozos, Javier Resano, Antonio Plaza:
FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 50(2): 374-388 (2012) - 2011
- [j4]Juan Antonio Clemente, Javier Resano, Carlos González, Daniel Mozos:
A Hardware Implementation of a Run-Time Scheduler for Reconfigurable Systems. IEEE Trans. Very Large Scale Integr. Syst. 19(7): 1263-1276 (2011) - 2010
- [j3]Carlos González, Javier Resano, Daniel Mozos, Antonio Plaza, David Valencia:
FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis. EURASIP J. Adv. Signal Process. 2010 (2010) - [j2]Juan Antonio Clemente, Carlos González, Javier Resano, Daniel Mozos:
A task graph execution manager for reconfigurable multi-tasking systems. Microprocess. Microsystems 34(2-4): 73-83 (2010) - 2008
- [j1]Javier Resano, Juan Antonio Clemente, Carlos González, Daniel Mozos, Francky Catthoor:
Efficiently scheduling runtime reconfigurations. ACM Trans. Design Autom. Electr. Syst. 13(4): 58:1-58:12 (2008)
Conference and Workshop Papers
- 2023
- [c10]Daniel Fernandez, Carlos González, Daniel Mozos:
Real-Time Independent Components Analysis for Dimensional Reduction of Hyperspectral Images Using Reconfigurable Hardware. DSD 2023: 515-522 - [c9]Rubén Macias, Sergio Bernabé, Carlos González:
Accelerating the ATDCA Algorithm for Endmember Extraction from Hyperspectral Imagery with Intel oneAPI for FPGAs. FPL 2023: 349-350 - 2016
- [c8]Daniel Fenzandez, Carlos González, Daniel Mozos:
Dimensionality reduction of hyperspectral images using reconfigurable hardware. FPL 2016: 1-2 - 2015
- [c7]Carlos González, Daniel Mozos, Sebastián López, Roberto Sarmiento:
FPGA implementation to estimate the number of endmembers in hyperspectral images. FPL 2015: 1-8 - 2013
- [c6]Javier Olivito, Carlos González, Javier Resano:
An FPGA-based specific processor for Blokus Duo. FPT 2013: 502-505 - 2010
- [c5]Carlos González, Daniel Mozos, Javier Resano, Antonio Plaza:
FPGA for Computing the Pixel Purity Index Algorithm on Hyperspectral Images. ERSA 2010: 293- - [c4]Javier Olivito, Carlos González, Javier Resano:
FPGA implementation of a strong Reversi player. FPT 2010: 507-510 - 2009
- [c3]Carlos González, Daniel Mozos, Javier Resano:
FPGA support for satellite computations of hyper spectral images. FPL 2009: 715-716 - 2008
- [c2]Juan Antonio Clemente, Carlos González, Javier Resano, Daniel Mozos:
A Hardware Task-Graph Scheduler for Reconfigurable Multi-tasking Systems. ReConFig 2008: 79-84 - 2007
- [c1]Javier Resano, Juan Antonio Clemente, Carlos González, Jose Luis Garcia, Daniel Mozos:
HW implementation of an execution manager for reconfigurable systems. ERSA 2007: 71-77
Coauthor Index
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