Anthony J. Ratkowski

TL;DR: The Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) algorithm is an ACA created for HSI applications in the visible through shortwave infrared (Vis-SWIR) spectral regime.

TL;DR: In this paper, a new, state-of-the-art atmospheric correction algorithm for the solar spectral range has been developed based on the MODTRAN4 code, and the primary data products are surface reflectance spectra, column water vapor maps and relative surface elevation maps.

TL;DR: In this paper, a convex cone model is used to represent vector data and an end-members extraction method is proposed to find the endmembers from the hyperspectral data set.

TL;DR: In this paper, the authors present an overview of the latest version of a MODTRAN4-based atmospheric correction algorithm developed by Spectral Sciences, Inc. and the Air Force Research Laboratory for spectral imaging sensors.

TL;DR: In this article, the spectral standard deviation of a collection of diverse material spectra, such as the end-member spectra in a scene, is essentially spectrally flat, allowing the retrieval of reasonably accurate reflectance spectra even when the sensor does not have a proper radiometric or wavelength calibration.