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8 May 2018 Measurement campaign for hyperspectral imaging in complex illumination environments
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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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven Golowich, Ronald Lockwood, Richard Nadile, Stuart Biggar, Marius Albota, Rajan Gurjar, Lin Stowe, Luke Skelly, Ian Fletcher, Ping Fung, Sarah Klein, John Jacobson, and Charles Gulley "Measurement campaign for hyperspectral imaging in complex illumination environments", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106441L (8 May 2018);

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