| Object detection on compressive measurements using correlation filters and sparse representation H Vargas, Y Fonseca, H Arguello 2018 26th European signal processing conference (EUSIPCO), 1960-1964, 2018 | 17 | 2018 |
| A low-rank model for compressive spectral image classification H Vargas, H Arguello IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9888-9899, 2019 | 10 | 2019 |
| ADMM-based ℓ1− ℓ1 optimization algorithm for robust sparse channel estimation in OFDM systems H Vargas, J Ramirez, H Arguello Signal Processing 167, 107296, 2020 | 8 | 2020 |
| A constrained formulation for compressive spectral image reconstruction using linear mixture models J Bacca, H Vargas, H Arguello 2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017 | 6 | 2017 |
| Multi-Sensor Image Feature Fusion via Subspace-Based Approach Using -Gradient Regularization H Vargas, J Ramírez, S Pinilla, JIM Torre IEEE Journal of Selected Topics in Signal Processing 17 (2), 525-537, 2022 | 5 | 2022 |
| Spectral unmixing approach in hyperspectral remote sensing: a tool for oil palm mapping H Vargas, A Camacho, H Arguello TecnoLógicas 22 (45), 131-145, 2019 | 5 | 2019 |
| Colored coded-apertures for spectral image unmixing HM Vargas, HA Fuentes Image and Signal Processing for Remote Sensing XXI 9643, 619-626, 2015 | 5 | 2015 |
| Probability of correct reconstruction in compressive spectral imaging SE Pinilla, HM Vargas, H Arguello Ingeniería e Investigación 36 (2), 68-77, 2016 | 3 | 2016 |
| Spectral raman unmixing from cassi system compressive measurements J Monsalve, H Vargas, H Arguello 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA …, 2015 | 3 | 2015 |
| Subspace-based feature fusion from hyperspectral and multispectral images for land cover classification J Ramírez, H Vargas, JI Martinez, H Arguello 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3003 …, 2021 | 2 | 2021 |
| Single pixel compressive spectral polarization imaging using a movable micro-polarizer array JL Bacca-Quintero, HM Vargas-García, DR Molina-Velasco, ... Revista Facultad de Ingeniería Universidad de Antioquia, 91-99, 2018 | 2 | 2018 |
| Algorithm for spectral image target detection from compressive measurements using a joint sparsity model and a CASSI architecture DA Boada, HM Vargas, JOA Ferreira, HA Fuentes 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA …, 2015 | 1 | 2015 |
| Diagnostic methodology for vehicles equipped with antilock braking system and electronic stability control JA Betancur, A Castillo, E Ramos, H Vargas, J Ochoa, C Sanchez Discover Applied Sciences 6 (9), 452, 2024 | | 2024 |
| Visual guidelines integration for automotive head-up displays interfaces JA Betancur, H Vargas, C Sanchez, F Merienne International Journal on Interactive Design and Manufacturing (IJIDeM), 1-12, 2024 | | 2024 |
| Desmezclado espectral en percepción remota hiperespectral: una herramienta para el mapeo de palma aceitera H Vargas, A Camacho Velasco, H Arguello TecnoLógicas, 2019 | | 2019 |
| Unmixing-based approach as a tool for classification of oil palm diseases using hyperspectral remote sensing in Colombia A Camacho, H Vargas, H Arguello Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 10783, 245-254, 2018 | | 2018 |
| A sparsity-based approach for spectral image target detection from compressive measurements acquired by the CASSI architecture DA Boada Supelano, HM Vargas García, JO Albarracín Ferreira, ... Ingeniería y Universidad 21 (2), 273-288, 2017 | | 2017 |
| Probability of correct reconstruction in compressive spectral imaging Probabilidad de reconstrucción exitosa en el sensado compreso de imágenes espectrales SE Pinilla, HM Vargas, H Arguello | | |
| An sparsity-based approach for spectral image target detection from compressive measurements acquired by the CASSI architecture DA Boada, HM Vargas Garcia, JO Albarracín Ferreira, HA Fuentes Pontificia Universidad Javeriana, 0 | | |
Henry Arguelloprofessor Universidad Industrial de Santander, Colombia在 uis.edu.co 的电子邮件经过验证
