2 August 2002 Performance assessment of ACORN atmospheric correction algorithm
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Abstract
The ACORN atmospheric correction routine was evaluated using criteria established in a precious performance assessment effort. The data utilized in this analysis represented a variety of background and atmospheric conditions, and were collected by the HYDICE imaging spectrometer. The baseline technique used to match retrieved reflectance spectra with ground truth was the matched filter with the bad bands deleted. Additional investigations were conducted to examine the effects on performance when the spectral angle mapper and the mixture tuned matched filter algorithms were used in place of the matched filter and when different numbers of bands were employed during spectral matching. Results substantiated the conclusions drawn from the previous study that the empirical line method ground truth-based atmospheric correction technique generally out-performs existing model-based techniques, such as ACORN.
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Craig J. Miller, Craig J. Miller, } "Performance assessment of ACORN atmospheric correction algorithm", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478777; https://doi.org/10.1117/12.478777
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