Performance assessment of atmospheric correction algorithms for Vis-SWIR hyperspectral data

Amy E. Stewart; Robert D. Kaiser

doi:10.1117/12.410366

23 August 2000 Performance assessment of atmospheric correction algorithms for Vis-SWIR hyperspectral data

Amy E. Stewart, Robert D. Kaiser

Proceedings Volume 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI; (2000) https://doi.org/10.1117/12.410366
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The performance of a variety of atmospheric correction algorithms applied to VIS-SWIR hyperspectral data are assessed quantitatively. Data from HYDICE obtained under desert, forest, tropical, and alpine conditions were tested. In addition to comparing retrieved reflectance spectra from ground truth, performance is assessed in terms of the impact of various atmospheric correction techniques on material identification.

Citation Download Citation

Amy E. Stewart and Robert D. Kaiser "Performance assessment of atmospheric correction algorithms for Vis-SWIR hyperspectral data", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); https://doi.org/10.1117/12.410366

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