Sildomar T. Monteiro

发表

Low-dimensional representations of hyperspectral data for use in CRF-based classification

Yang Hu, Nathan D. Cahill, Sildomar T. Monteiro, 2015, SPIE Remote Sensing.

Super pixel based classification using conditional random fields for hyperspectral images

Sildomar T. Monteiro, Yang Hu, Eli Saber, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization

Keisuke Kameyama, Yukio Kosugi, Sildomar T. Monteiro, 2005 .

Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs

Sildomar T. Monteiro, Yansong Liu, Eli Saber, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

Sildomar T. Monteiro, Eli Saber, Utsav B. Gewali, 2019, Remote. Sens..

Conditional Random Fields for Rock Characterization Using Drill Measurements

Sildomar T. Monteiro, Fabio Tozeto Ramos, Peter Hatherly, 2009, 2009 International Conference on Machine Learning and Applications.

Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2014, Remote. Sens..

Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields

Sildomar T. Monteiro, Yansong Liu, Eli Saber, 2019, Journal of Applied Remote Sensing.

3D geological modelling using laser and hyperspectral data

Diego Viejo, Sildomar T. Monteiro, Juan I. Nieto, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining

Sildomar T. Monteiro, Fabio Tozeto Ramos, Joop van de Ven, 2011, IJCAI.

Dual-Channel Densenet for Hyperspectral Image Classification

Michael G. Gartley, Sildomar T. Monteiro, Emmett J. Ientilucci, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Vehicle detection from aerial color imagery and airborne LiDAR data

Sildomar T. Monteiro, Yansong Liu, Eli Saber, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Automated rock recognition with wavelet feature space projection and Gaussian Process classification

Sildomar T. Monteiro, Fabio Tozeto Ramos, Eric Nettleton, 2010, 2010 IEEE International Conference on Robotics and Automation.

Embedded feature selection of hyperspectral bands with boosted decision trees

Sildomar T. Monteiro, Richard J. Murphy, R. Murphy, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Sp ectral Feature Selection for Automated Rock Recognition using Gaussian Process Classiflcation

Sildomar T. Monteiro, Eric Nettleton, Hang Zhou, 2009 .

Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields

Sildomar T. Monteiro, Utsav B. Gewali, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Combining strong features for registration of hyperspectral and lidar data from field-based platforms

Sildomar T. Monteiro, Richard J. Murphy, Rishi Ramakrishnan, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Classification of hyperspectral images based on conditional random fields

Yang Hu, Nathan D. Cahill, Sildomar T. Monteiro, 2015, Electronic Imaging.

Transfer learning for high resolution aerial image classification

Sildomar T. Monteiro, Yilong Liang, Eli S. Saber, 2016, 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Automatic rock recognition from drilling performance data

Sildomar T. Monteiro, Fabio Tozeto Ramos, Eric Nettleton, 2012, 2012 IEEE International Conference on Robotics and Automation.

An approach for combining airborne LiDAR and high-resolution aerial color imagery using Gaussian processes

Sildomar T. Monteiro, Yansong Liu, Eli Saber, 2015, SPIE Remote Sensing.

Desempenho de algoritmos de aprendizagem por reforço sob condições de ambiguidade sensorial em robótica móvel

Sildomar T. Monteiro, Carlos H. C. Ribeiro, 2004 .

2P1-N-052 Robust Mobile Robot Map Building Using Sonar and Vision : Evolving the navigation abilities of the ApriAlpha home robot(Home Robot and Mechatronics 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Nobuto Matsuhira, Sildomar T. Monteiro, Hideichi Nakamoto, 2005 .

Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic

Sildomar T. Monteiro, Fabio Tozeto Ramos, Peter Hatherly, 2010, IEEE Geoscience and Remote Sensing Letters.

A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes

Sildomar T. Monteiro, Utsav B. Gewali, S. Monteiro, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS

Sildomar T. Monteiro, Yansong Liu, Eli Saber, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Feature selection with PSO and kernel methods for hyperspectral classification

Sildomar T. Monteiro, Anthony S. J. Tjiong, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Comparing inference methods for conditional random fields for hyperspectral image classification

Sildomar T. Monteiro, Yang Hu, Eli Saber, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Calibrating probabilities for hyperspectral classification of rock types

Sildomar T. Monteiro, Richard J. Murphy, R. Murphy, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Machine learning based hyperspectral image analysis: A survey pdf

Sildomar T. Monteiro, Eli Saber, Utsav B. Gewali, 2018, ArXiv.

Robust mobile robot map building using sonar and vision Evolving the navigation abilities of the ApriAlpha™ home robot

Nobuto Matsuhira, Sildomar T. Monteiro, Hideichi Nakamoto, 2005 .

Gaussian Processes for Object Detection in High Resolution Remote Sensing Images

Sildomar T. Monteiro, Yilong Liang, Eli S. Saber, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification

Sildomar T. Monteiro, Utsav B. Gewali, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at $\sim$900 nm as an Indicator of Mineralogy

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Robust stock value prediction using support vector machines with particle swarm optimization

Sildomar T. Monteiro, Trevor M. Sands, Deep Tayal, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng

Sildomar T. Monteiro, Steve Scheding, Seong H. Lee, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A tutorial on modelling and inference in undirected graphical models for hyperspectral image analysis

Sildomar T. Monteiro, Utsav B. Gewali, S. Monteiro, 2018, ArXiv.

W-band maritime target classification using high resolution range profiles

Sildomar T. Monteiro, Tomasz Jasinski, Graham Brooker, 2013, 2013 International Conference on Radar.

Multitask learning of vegetation biochemistry from hyperspectral data

Sildomar T. Monteiro, Utsav B. Gewali, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

On the development of a hyperspectral library for autonomous mining systems

Sildomar T. Monteiro, Richard J. Murphy, Eric Nettleton, 2009 .

Mapping the distribution of ferric iron minerals on a vertical mine face using derivative analysis of hyperspectral imagery (430-970 nm)

Sildomar T. Monteiro, Richard J. Murphy, R. Murphy, 2013 .