Sildomar Monteiro

College of Art and Design College of Engineering Technology College of Health Sciences and Technology College of Liberal Arts College of Science Golisano College of Computing and Information Sciences Golisano Institute for Sustainability International Campuses Kate Gleason College of Engineering National Technical Institute for the Deaf Saunders College of Business

Sildomar Monteiro

Assistant Professor
Kate Gleason College of Engineering
Electrical and Microelectronic Engineering

2016 Submissions

Published Conference Proceedings

Gewali, Utsav B. and Sildomar T. Monteiro. "A Novel Covariance Function for Predicting Vegetation Biochemistry from Hyperspectral Imagery with Gaussian Processes." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. Phoenix, AZ: n.p., 2016. Print. £

Hu, Yang, Sildomar T. Monteiro, and Eli Saber. "Super Pixel Based Classification Using Conditional Random Fields for Hyperspectral Images." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. Phoenix, AZ: n.p., 2016. Print. £

Gewali, Utsav B. and Sildomar T. Monteiro. "Multitask Learning of Vegetation Biochemistry from Hyperspectral Data." Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. IEEE. Los Angeles, CA: n.p., 2016. Web. £

Gewali, Utsav B. and Sildomar T. Monteiro. "Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields." Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. IEEE. Los Angeles, CA: n.p., 2016. Web. £

Liang, Yilong, Sildomar T. Monteiro, and Eli Saber. "Transfer Learning for High Resolution Aerial Image Classification." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop. Ed. IEEE. Washington, DC: n.p., 2016. Print. £

Liang, Yilong, Sildomar T. Monteiro, and Eli Saber. "Gaussian Processes for Object Detection in High Resolution Remote Sensing Images." Proceedings of the IEEE International Conference on Machine Learning and Applications. Ed. IEEE. Anaheim, CA: n.p., 2016. Print. £

Liu, Yansong, Sildomar T. Monteiro, and Eli Saber. "Vehicle Detection from Aerial Color Imagery and Airborne LiDAR Data." Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Ed. IEEE. Beijing, China: IEEE, 2016. Print. £

2015 Submissions

Published Conference Proceedings

Hu, Yang, et al. "Low-dimensional Representations of Hyperspectral Data for Use in CRF-based Classi cation." Proceedings of the SPIE Image and Signal Processing for Remote Sensing. Ed. SPIE. Toulouse, France: n.p., 2015. Print. £

Liu, Yansong, Sildomar T. Monteiro, and Eli Saber. "An Approach for Combining Airborne LiDAR and High-Resolution Aerial Color Imagery using Gaussian Processes." Proceedings of the SPIE Image and Signal Processing for Remote Sensing. Ed. SPIE. Toulouse, France: n.p., 2015. Print. £

2014 Submissions

Journal Paper

Murphy, Richard J., Sven Schneider, and 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 Transactions on Geoscience and Remote Sensing 52. 5 (2014): 2843-2857. Print. * £

Murphy, Richard J, Sven Schneider, and 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 Sensing 6. 9 (2014): 9104-9129. Print. * £

2013 Submissions

Journal Paper

Murphy, Richard J. and Sildomar T. Monteiro. "Mapping the Distribution of Ferric Iron Minerals on a Vertical Mine Face Using Derivative Analysis of Hyperspectral Imagery (430-970 nm)." ISPRS Journal of Photogrammetry and Remote Sensing 75. (2013): 29-39. Print. *

Published Conference Proceedings

Cliff, Oliver M. and Sildomar T. Monteiro. "Evaluating Techniques for Learning a Feedback Controller for Low-cost Manipulators." Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Ed. IEEE. Tokyo, Japan: n.p., 2013. Print. *

Lee, Seong H., Sildomar T. Monteiro, and Steve J. Scheding. "Submodular Volume Simplex Analysis: A Greedy Algorithm for Hyperspectral Unmixng." Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing (WHISPERS). Ed. IEEE. Gainesville, FL: n.p., 2013. Print. *

Monteiro, Sildomar T., et al. "Combining Strong Features for Registration of Hyperspectral and lidar Data from Field-based Platforms." Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Ed. IEEE. Melbourne, Australia: n.p., Print. ∆ £

Jasinski, T., et al. "W-band Maritime Target Classification Using High Resolution Range Profiles." Proceedings of the International Conference on Radar (RADAR). Ed. IEEE. Adelaide, Australia: IEEE, Print. *