@inproceedings{9e7b1900ca064074a9ced05e74f76485,
title = "Measurement campaign for hyperspectral imaging in complex illumination environments",
abstract = "The problem of spectral reflectance retrieval of surfaces via remote hyperspectral imaging is challenging even in benign scenarios, and becomes dramatically more difficult under complex illumination conditions. Shadows, reflections from nearby structures, and atmospheric scattering can all severely impact the observed radiance from ground-level surfaces. In order to study this problem, MIT Lincoln Laboratory recently conducted an airborne data collection experiment that included hyperspectral, laser radar, and pan-chromatic modalities. A comprehensive ground truth data set and extensive efforts directed at sensor characterization makes this data set ideal for the development of hyperspectral exploitation algorithms.",
keywords = "Hyperspectral imaging, Ladar imaging, Remote sensing",
author = "Steven Golowich and Ronald Lockwood and Richard Nadile and Stuart Biggar and Marius Albota and Rajan Gurjar and Lin Stowe and Luke Skelly and Ian Fletcher and Ping Fung and Sarah Klein and John Jacobson and Charles Gulley",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 2018 ; Conference date: 17-04-2018 Through 19-04-2018",
year = "2018",
doi = "10.1117/12.2305200",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Messinger, {David W.} and Miguel Velez-Reyes",
booktitle = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV",
}