| Evaluating classification techniques for mapping vertical geology using field-based hyperspectral sensors RJ Murphy, ST Monteiro, S Schneider IEEE Transactions on Geoscience and Remote Sensing 50 (8), 3066-3080, 2012 | 133 | 2012 |
| Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery ST Monteiro, Y Minekawa, Y Kosugi, T Akazawa, K Oda ISPRS Journal of Photogrammetry and Remote Sensing 62 (1), 2-12, 2007 | 123 | 2007 |
| Machine learning based hyperspectral image analysis: a survey UB Gewali, ST Monteiro, E Saber arXiv preprint arXiv:1802.08701, 2018 | 96 | 2018 |
| Dense semantic labeling of very-high-resolution aerial imagery and lidar with fully-convolutional neural networks and higher-order CRFs Y Liu, S Piramanayagam, ST Monteiro, E Saber Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 90 | 2017 |
| Mapping the distribution of ferric iron minerals on a vertical mine face using derivative analysis of hyperspectral imagery (430–970 nm) RJ Murphy, ST Monteiro ISPRS Journal of Photogrammetry and Remote Sensing 75, 29-39, 2013 | 84 | 2013 |
| Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at 900 nm as an Indicator of Mineralogy RJ Murphy, S Schneider, ST Monteiro Geoscience and Remote Sensing, IEEE Transactions on 52 (5), 2843 - 2857, 2014 | 51 | 2014 |
| Rock recognition from MWD data: a comparative study of boosting, neural networks, and fuzzy logic A Kadkhodaie-Ilkhchi, ST Monteiro, F Ramos, P Hatherly IEEE Geoscience and Remote Sensing Letters 7 (4), 680-684, 2010 | 45 | 2010 |
| Transfer learning for high resolution aerial image classification Y Liang, ST Monteiro, ES Saber 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2016 | 36 | 2016 |
| Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields Y Liu, S Piramanayagam, ST Monteiro, E Saber Journal of Applied Remote Sensing 13 (1), 016501, 2019 | 35 | 2019 |
| Dual-channel densenet for hyperspectral image classification G Yang, UB Gewali, E Ientilucci, M Gartley, ST Monteiro IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 32 | 2018 |
| 3D geological modelling using laser and hyperspectral data JI Nieto, ST Monteiro, D Viejo 2010 IEEE International Geoscience and Remote Sensing Symposium, 4568-4571, 2010 | 31 | 2010 |
| Robust stock value prediction using support vector machines with particle swarm optimization TM Sands, D Tayal, ME Morris, ST Monteiro 2015 IEEE Congress on Evolutionary Computation (CEC), 3327-3331, 2015 | 29 | 2015 |
| Mapping layers of clay in a vertical geological surface using hyperspectral imagery: Variability in parameters of SWIR absorption features under different conditions of … RJ Murphy, S Schneider, ST Monteiro Remote Sensing 6 (9), 9104-9129, 2014 | 27 | 2014 |
| Machine learning based hyperspectral image analysis: A survey. arXiv 2018 UB Gewali, ST Monteiro, E Saber arXiv preprint arXiv:1802.08701, 2018 | 26 | 2018 |
| A particle swarm optimization-based approach for hyperspectral band selection ST Monteiro, Y Kosugi 2007 IEEE Congress on Evolutionary Computation, 3335-3340, 2007 | 26 | 2007 |
| Towards applying hyperspectral imagery as an intraoperative visual aid tool ST Monteiro, Y Kosugi, K Uto, E Watanabe Proc. 4th Int. Conf. on Visualization, Imaging and Image Processing, 483-488, 2004 | 23 | 2004 |
| Gaussian processes for vegetation parameter estimation from hyperspectral data with limited ground truth UB Gewali, ST Monteiro, E Saber Remote Sensing 11 (13), 1614, 2019 | 20 | 2019 |
| Embedded feature selection of hyperspectral bands with boosted decision trees ST Monteiro, RJ Murphy 2011 IEEE International Geoscience and Remote Sensing Symposium, 2361-2364, 2011 | 19 | 2011 |
| Particle swarms for feature extraction of hyperspectral data ST Monteiro, Y Kosugi IEICE transactions on information and systems 90 (7), 1038-1046, 2007 | 17 | 2007 |
| Desempenho de algoritmos de aprendizagem por reforço sob condições de ambiguidade sensorial em robótica móvel ST Monteiro, CHC Ribeiro Sba: Controle & Automação Sociedade Brasileira de Automatica 15, 320-338, 2004 | 17 | 2004 |
Eli SaberProfessor of Electrical and Microelectronic Engineering, RITE-mailová adresa ověřena na: rit.edu
