Performance Assessment of Atmoshperic Correction Algorithms for VIS-SWIR Hyperspectral Data

摘要

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.