Measurement campaign for hyperspectral imaging in complex illumination environments

Steven Golowich, Ronald Lockwood, Richard Nadile, Stuart Biggar, Marius Albota, Rajan Gurjar, Lin Stowe, Luke Skelly, Ian Fletcher, Ping Fung, Sarah Klein, John Jacobson, Charles Gulley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
EditorsDavid W. Messinger, Miguel Velez-Reyes
PublisherSPIE
ISBN (Electronic)9781510617995
DOIs
StatePublished - Jan 1 2018
EventAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 2018 - Orlando, United States
Duration: Apr 17 2018Apr 19 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10644
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 2018
CountryUnited States
CityOrlando
Period4/17/184/19/18

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Keywords

  • Hyperspectral imaging
  • Ladar imaging
  • Remote sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Golowich, S., Lockwood, R., Nadile, R., Biggar, S., Albota, M., Gurjar, R., Stowe, L., Skelly, L., Fletcher, I., Fung, P., Klein, S., Jacobson, J., & Gulley, C. (2018). Measurement campaign for hyperspectral imaging in complex illumination environments. In D. W. Messinger, & M. Velez-Reyes (Eds.), Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV [106441L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10644). SPIE. https://doi.org/10.1117/12.2305200