Performance assessment of atmospheric correction algorithms on material identification for VIS-SWIR hyperspectral data II

Amy E. Stewart; Raymond D. Bauer; Robert D. Kaiser

doi:10.1117/12.406589

15 November 2000 Performance assessment of atmospheric correction algorithms on material identification for VIS-SWIR hyperspectral data II

Amy E. Stewart, Raymond D. Bauer, Robert D. Kaiser

Author Affiliations +

Proceedings Volume 4132, Imaging Spectrometry VI; (2000) https://doi.org/10.1117/12.406589
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

This paper has two objectives: (1) to assess the performance of atmospheric correction techniques for VIS-SWIR hyperspectral data, and (2) to evaluate the ability to identify a variety of materials in five major backgrounds. Data from the HYDICE sensor obtained under alpine, desert, forest, jungle, and littoral conditions were evaluated. In addition to comparing retrieved reflectance spectra from ground truth, the impact of various atmospheric correction techniques on material identification was assessed.

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Amy E. Stewart, Raymond D. Bauer, and Robert D. Kaiser "Performance assessment of atmospheric correction algorithms on material identification for VIS-SWIR hyperspectral data II", Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); https://doi.org/10.1117/12.406589

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