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ORCIDMiguel Velez-Reyes
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2020 – today
- 2024
[c28]Hector Erives-Contreras, Michael G. Gartley, Aryzbe Najera, Miguel Velez-Reyes
:
Simulation of Unresolved Imagery of a Geosynchronous Satellite with DIRSIGTM. SSIAI 2024: 49-52- [c27]Ana Cecilia Chavez-Lopez, Miguel Velez-Reyes:
Evaluation of Hyperspectral Unmixing Methods: A Comparative Study for Very-High Spatial Resolution Hyperspectral Images. SSIAI 2024: 53-56 - 2023
- [c26]Roberto Garcia, Miguel Velez-Reyes, Anthony Ortiz:
Using an Epitomic Representation Approach to Downscale the Goes-16's Land Surface Temperature Product. IGARSS 2023: 3612-3615 - [c25]Ana C. Chavez-Lopez, Miguel Velez-Reyes:
Unmixing Analysis of Close-Range Hyperspectral Images. IGARSS 2023: 7543-7546 - 2021
- [j12]Bibek Aryal, Stephen M. Escarzaga, Sergio A. Vargas Zesati, Miguel Velez-Reyes, Olac Fuentes, Craig E. Tweedie:
Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches. Remote. Sens. 13(22): 4572 (2021) - 2020
- [c24]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery. ICIP 2020: 26-30
2010 – 2019
- 2019
- [j11]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Improved Spatial-Spectral Superpixel Hyperspectral Unmixing. Remote. Sens. 11(20): 2374 (2019) - [c23]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Effects of Region Size on Superpixel-Based Unmixing. WHISPERS 2019: 1-5 - 2018
- [c22]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Superpixel-Based Hyperspectral Unmixing with Regional Segmentation. IGARSS 2018: 6384-6387 - [c21]Maher Aldeghlawi, Miguel Velez-Reyes:
A Comparison of Column Subset Selection Methods for Unsupervised Band Subset Selection in Hyperspectral Imagery. SSIAI 2018: 57-60 - [c20]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Regional vs. Global Superpixel-Based Unmixing of Hyperspectral Imagery. WHISPERS 2018: 1-5 - 2017
- [c19]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Segmentation-based cNMF for hyperspectral unmixing. IGARSS 2017: 632-635 - 2016
- [j10]Maider Marin-McGee, Miguel Velez-Reyes:
A Spectrally Weighted Structure Tensor for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4442-4449 (2016) - [c18]Maria C. Torres-Madronero, Miguel Velez-Reyes:
Hyperspectral endmember class extraction using clustering and validity indexes. SSIAI 2016: 81-84 - [c17]Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Understanding spatial-spectral domain interactions in hyperspectral unmixing using exploratory data analysis. WHISPERS 2016: 1-4 - [c16]Emmanuel Carpena-Colon, Luis O. Jimenez-Rodriguez, Emmanuel Arzuaga, Miguel Velez-Reyes:
Subsurface linear unmixing on a controlled underwater enviroment. WHISPERS 2016: 1-5 - [c15]Maider Marin-McGee, Miguel Velez-Reyes:
Coherence enhancement diffusion for hyperspectral imagery using a spectrally weighted structure tensor. WHISPERS 2016: 1-4 - 2014
- [j9]Maria C. Torres-Madronero, Miguel Velez-Reyes:
Integrating Spatial Information in Unsupervised Unmixing of Hyperspectral Imagery Using Multiscale Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1985-1993 (2014) - [c14]Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Fleming Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyes, Wei Qian:
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. Computer-Aided Diagnosis 2014: 90350T - 2013
- [j8]Miguel A. Goenaga, Maria C. Torres-Madronero, Miguel Velez-Reyes, Skip J. Van Bloem, Jesus D. Chinea:
Unmixing Analysis of a Time Series of Hyperion Images Over the Guánica Dry Forest in Puerto Rico. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-1): 329-338 (2013) - [c13]Maria C. Torres-Madronero, Miguel Velez-Reyes:
An approach for unmixing of hyperspectral imagery based on scale-space representation. WHISPERS 2013: 1-4 - [c12]Santiago Velasco-Forero, Maider Marin-McGee, Miguel Velez-Reyes:
Multivariate diffusion tensor and induced segmentation. WHISPERS 2013: 1-4 - 2012
- [j7]Leidy P. Dorado-Muñoz, Miguel Velez-Reyes, Amit Mukherjee, Badrinath Roysam:
A Vector SIFT Detector for Interest Point Detection in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 50(11): 4521-4533 (2012) - [c11]Maria C. Torres-Madronero, Miguel Velez-Reyes:
Unmixing analysis based on multiscale segmentation. WHISPERS 2012: 1-4 - 2011
- [c10]Maider Marin-McGee, Miguel Velez-Reyes:
A structure tensor for hyperspectral images. WHISPERS 2011: 1-4 - [c9]Maria C. Torres-Madronero, Miguel Velez-Reyes, Skip J. Van Bloem, Jesus D. Chinea:
Multi-temporal unmixing analysis of Hyperion images over the Guanica Dry Forest. WHISPERS 2011: 1-4 - 2010
- [c8]Leidy P. Dorado-Muñoz, Miguel Velez-Reyes, Amit Mukherjee, Badrinath Roysam:
A vector SIFT operator for interest point detection in hyperspectral imagery. WHISPERS 2010: 1-4 - [c7]Andrea Santos-Garcia, Miguel Velez-Reyes:
Identifiability of geometric models for linear unmixing at different spatial resolutions in hyperspectral unmixing. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j6]Amit Mukherjee, Miguel Velez-Reyes, Badrinath Roysam:
Interest Points for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 47(3): 748-760 (2009) - [c6]Samuel Rosario-Torres, Miguel Velez-Reyes:
Speeding up the MATLAB™ Hyperspectral Image Analysis Toolbox using GPUs and the Jacket Toolbox. WHISPERS 2009: 1-4 - 2008
- [j5]Julio Martin Duarte-Carvajalino, Guillermo Sapiro, Miguel Velez-Reyes, Paul E. Castillo:
Multiscale Representation and Segmentation of Hyperspectral Imagery Using Geometric Partial Differential Equations and Algebraic Multigrid Methods. IEEE Trans. Geosci. Remote. Sens. 46(8): 2418-2434 (2008) - [c5]Carolina Gerardino-Neira, James Goodman, Miguel Velez-Reyes, Wilson Rivera:
Sensitivity Analysis of a Hyperspectral Inversion Model for Remote Sensing of Shallow Coastal Ecosystems. IGARSS (1) 2008: 98-101 - 2007
- [j4]Agustin A. Irizarry-Rivera, Manuel Rodríguez-Martínez, Bienvenido Vélez, Miguel Velez-Reyes, Alberto R. Ramirez-Orquin, Efrain O'Neill-Carrillo, Jose R. Cedeno:
Intelligent power routers: a distributed coordination approach for electric energy processing networks. Int. J. Crit. Infrastructures 3(1/2): 20-57 (2007) - [j3]Luis O. Jimenez-Rodriguez, Emmanuel Arzuaga-Cruz, Miguel Velez-Reyes:
Unsupervised Linear Feature-Extraction Methods and Their Effects in the Classification of High-Dimensional Data. IEEE Trans. Geosci. Remote. Sens. 45(2): 469-483 (2007) - [j2]Julio Martin Duarte-Carvajalino, Paul E. Castillo, Miguel Velez-Reyes:
Comparative Study of Semi-Implicit Schemes for Nonlinear Diffusion in Hyperspectral Imagery. IEEE Trans. Image Process. 16(5): 1303-1314 (2007) - 2005
- [c4]Vidya B. Manian, Miguel Velez-Reyes:
A boosting algorithm for texture classification and object detection. Visual Information Processing 2005: 25-33 - 2004
- [c3]Miguel Velez-Reyes, Samuel Rosario:
Solving adundance estimation in hyperspectral unmixing as a least distance problem. IGARSS 2004: 3276-3278 - [c2]Emmanuel Arzuaga-Cruz, Luis O. Jimenez-Rodriguez, Miguel Velez-Reyes, David R. Kaeli, Eladio Rodriguez-Diaz, Hector T. Velazquez-Santana, Alexey Castrodad-Carrau, Laura E. Santos-Campis, Cesar Santiago:
A MATLAB toolbox for Hyperspectral Image Analysis. IGARSS 2004: 4839-4842 - 2001
- [c1]Miguel Vélez-Reyes, Wee Liam Fung, Jose E. Ramos-Torres:
Developing robust algorithms for speed and parameter estimation in induction machines. CDC 2001: 2223-2228
1990 – 1999
- 1999
- [j1]Betzaida Argüello-Serrano, Miguel Vélez-Reyes:
Nonlinear control of a heating, ventilating, and air conditioning system with thermal load estimation. IEEE Trans. Control. Syst. Technol. 7(1): 56-63 (1999) - 1992
- [b1]Miguel Vélez-Reyes:
Decomposed algorithms for parameter estimation. Massachusetts Institute of Technology, Cambridge, MA, USA, 1992
Coauthor Index
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