Sildomar T. Monteiro

Orcid: 0000-0001-7694-9536

According to our database1, Sildomar T. Monteiro authored at least 39 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances.
CoRR, 2023

2019
Spectral Super-Resolution with Optimized Bands.
Remote. Sens., 2019

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth.
Remote. Sens., 2019

2018
Machine learning based hyperspectral image analysis: A survey.
CoRR, 2018

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis.
CoRR, 2018

Dual-Channel Densenet for Hyperspectral Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Multitask learning of vegetation biochemistry from hyperspectral data.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Vehicle detection from aerial color imagery and airborne LiDAR data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Gaussian Processes for Object Detection in High Resolution Remote Sensing Images.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Super pixel based classification using conditional random fields for hyperspectral images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Editorial: Special issue on Alternative Sensing Techniques for Robot Perception.
J. Field Robotics, 2015

Comparing inference methods for conditional random fields for hyperspectral image classification.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Classification of hyperspectral images based on conditional random fields.
Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

Robust stock value prediction using support vector machines with particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
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., 2014

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., 2014

2013
Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Evaluating techniques for learning a feedback controller for low-cost manipulators.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Combining strong features for registration of hyperspectral and lidar data from field-based platforms.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors.
IEEE Trans. Geosci. Remote. Sens., 2012

Automatic rock recognition from drilling performance data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.
Proceedings of the IJCAI 2011, 2011

Embedded feature selection of hyperspectral bands with boosted decision trees.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Feature selection with PSO and kernel methods for hyperspectral classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.
IEEE Geosci. Remote. Sens. Lett., 2010

3D geological modelling using laser and hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Calibrating probabilities for hyperspectral classification of rock types.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Automated rock recognition with wavelet feature space projection and Gaussian Process classification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Conditional Random Fields for Rock Characterization Using Drill Measurements.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Hyperspectral Image Classification of Grass Species in Northeast Japan.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
Particle Swarms for Feature Extraction of Hyperspectral Data.
IEICE Trans. Inf. Syst., 2007

Applying Particle Swarm Intelligence for Feature Selection of Spectral Imagery.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A particle swarm optimization-based approach for hyperspectral band selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Prediction of Sweetness and Nitrogen Content in Soybean Crops from High Resolution Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006


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