Carl Salvaggio
Affiliations: | Imaging Science | Rochester Institute of Technology, Rochester, NY, United States |
Area:
General Engineering, Computer Science, Mechanical EngineeringGoogle:
"Carl Salvaggio"Children
Sign in to add traineeMatthew Montanaro | grad student | 2009 | Rochester Institute of Technology |
May V. Casterline | grad student | 2013 | Rochester Institute of Technology |
Shaohui Sun | grad student | 2013 | Rochester Institute of Technology |
David R. Nilosek | grad student | 2014 | Rochester Institute of Technology |
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Publications
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DeCoffe LJR, Conran DN, Bauch TD, et al. (2022) Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data. Sensors (Basel, Switzerland). 23 |
Mamaghani B, Salvaggio C. (2019) Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing. Sensors (Basel, Switzerland). 19 |
Mamaghani B, Saunders MG, Salvaggio C. (2019) Inherent Reflectance Variability of Vegetation Agriculture. 9: 246 |
Kemker R, Salvaggio C, Kanan C. (2018) Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning Isprs Journal of Photogrammetry and Remote Sensing. 145: 60-77 |
Yousefhussien M, Kelbe DJ, Ientilucci EJ, et al. (2018) A multi-scale fully convolutional network for semantic labeling of 3D point clouds Isprs Journal of Photogrammetry and Remote Sensing. 143: 191-204 |
Carson TD, Salvaggio C. (2015) Signature simulation of mixed materials Proceedings of Spie - the International Society For Optical Engineering. 9461 |
Carson T, Bachmann CM, Salvaggio C. (2015) Soil signature simulation of complex mixtures and particle size distributions Optical Engineering. 54 |
Carson T, Salvaggio C. (2015) Soil signature simulation in the thermal infrared Optical Engineering. 54 |
Geniviva A, Faulring J, Salvaggio C. (2014) Automatic georeferencing of imagery from high-resolution, low-altitude, low-cost aerial platforms Proceedings of Spie. 9089 |
Salvaggio KN, Salvaggio C, Hagstrom S. (2014) A voxel-based approach for imaging voids in three-dimensional point clouds Proceedings of Spie. 9089 |