Sildomar T. Monteiro

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Hyperspectral Image Classification

Top Venues

Publications

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6 (3) (2024)
Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. ICRA (2024)
Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. CoRR (2023)
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth. Remote. Sens. 11 (13) (2019)
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
Spectral Super-Resolution with Optimized Bands. Remote. Sens. 11 (14) (2019)
Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro
Dual-Channel Densenet for Hyperspectral Image Classification. IGARSS (2018)
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
Machine learning based hyperspectral image analysis: A survey. CoRR (2018)
Utsav B. Gewali, Sildomar T. Monteiro
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis. CoRR (2018)
Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber
Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs. CVPR Workshops (2017)
Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber
Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS. IGARSS (2017)
Utsav B. Gewali, Sildomar T. Monteiro
Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification. IGARSS (2017)
Yansong Liu, Sildomar T. Monteiro, Eli Saber
Vehicle detection from aerial color imagery and airborne LiDAR data. IGARSS (2016)
Utsav B. Gewali, Sildomar T. Monteiro
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data. CoRR (2016)
Yang Hu, Sildomar T. Monteiro, Eli Saber
Super pixel based classification using conditional random fields for hyperspectral images. ICIP (2016)
Utsav B. Gewali, Sildomar T. Monteiro
A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes. ICIP (2016)
Yilong Liang, Sildomar T. Monteiro, Eli S. Saber
Gaussian Processes for Object Detection in High Resolution Remote Sensing Images. ICMLA (2016)
Utsav B. Gewali, Sildomar T. Monteiro
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields. CoRR (2016)
Utsav B. Gewali, Sildomar T. Monteiro
Multitask learning of vegetation biochemistry from hyperspectral data. WHISPERS (2016)
Utsav B. Gewali, Sildomar T. Monteiro
Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields. WHISPERS (2016)
Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger
Classification of hyperspectral images based on conditional random fields. Image Processing: Machine Vision Applications (2015)
Yang Hu, Sildomar T. Monteiro, Eli Saber
Comparing inference methods for conditional random fields for hyperspectral image classification. WHISPERS (2015)
Thierry Peynot, Sildomar T. Monteiro, Alonzo Kelly, Michel Devy
Editorial: Special issue on Alternative Sensing Techniques for Robot Perception. J. Field Robotics 32 (1) (2015)
Trevor M. Sands, Deep Tayal, Matthew E. Morris, Sildomar T. Monteiro
Robust stock value prediction using support vector machines with particle swarm optimization. CEC (2015)
Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro
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. IEEE Trans. Geosci. Remote. Sens. 52 (5) (2014)
Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro
Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination. Remote. Sens. 6 (9) (2014)
Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor
Combining strong features for registration of hyperspectral and lidar data from field-based platforms. IGARSS (2013)
Seong H. Lee, Sildomar T. Monteiro, Steven J. Scheding
Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng. WHISPERS (2013)
Oliver M. Cliff, Sildomar T. Monteiro
Evaluating techniques for learning a feedback controller for low-cost manipulators. IROS (2013)
Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding
Automatic rock recognition from drilling performance data. ICRA (2012)
Richard J. Murphy, Sildomar T. Monteiro, Sven Schneider
Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Sildomar T. Monteiro, Richard J. Murphy
Embedded feature selection of hyperspectral bands with boosted decision trees. IGARSS (2011)
Anthony S. J. Tjiong, Sildomar T. Monteiro
Feature selection with PSO and kernel methods for hyperspectral classification. IEEE Congress on Evolutionary Computation (2011)
Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. IJCAI (2011)
Juan I. Nieto, Sildomar T. Monteiro, Diego Viejo
3D geological modelling using laser and hyperspectral data. IGARSS (2010)
Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer
Automated rock recognition with wavelet feature space projection and Gaussian Process classification. ICRA (2010)
Sildomar T. Monteiro, Richard J. Murphy
Calibrating probabilities for hyperspectral classification of rock types. IGARSS (2010)
Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic. IEEE Geosci. Remote. Sens. Lett. 7 (4) (2010)
Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly
Conditional Random Fields for Rock Characterization Using Drill Measurements. ICMLA (2009)