scispace - formally typeset
B

Brian Pukall

Researcher at Air Force Research Laboratory

Publications -  6
Citations -  949

Brian Pukall is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Radiance & MODTRAN. The author has an hindex of 4, co-authored 6 publications receiving 891 citations.

Papers
More filters
Proceedings ArticleDOI

MODTRAN4 radiative transfer modeling for atmospheric correction

TL;DR: The MODTRAN ground surface has been upgraded to include the effects of Bidirectional Reflectance Distribution Functions (BRDFs) and Adjacency as discussed by the authors, and the BRDFs are coupled into line-of-sight surface radiance calculations.
Proceedings ArticleDOI

Atmospheric correction for shortwave spectral imagery based on MODTRAN4

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.
Proceedings ArticleDOI

MODTRAN4: radiative transfer modeling for remote sensing

TL;DR: The U.S. Air Force's MODTRAN4 as mentioned in this paper is the latest version of the UAV spectral data collection system, which is used for analyzing spectral data for both atmospheric and surface characterization, and has been developed by the Air Force Research Laboratory / Space Vehicles Directorate (AFRL / VS) and Spectral Sciences, Inc.
Proceedings ArticleDOI

FLAASH and MODTRAN4: state-of-the-art atmospheric correction for hyperspectral data

TL;DR: FLAASH (Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes) as mentioned in this paper is a MODTRAN-based "atmospheric correction" software package which is being developed by the Air Force Research Laboratory, Hanscom AFB, and Spectral Sciences, Inc., to support current and planned SWIR/visible/UV hyperspectral and multispectral sensors, typically in image format.
Proceedings ArticleDOI

Detection of cirrus clouds at 1.13 μm in AVIRIS scenes over land

TL;DR: In this article, a pairwise regression method for spectral imagery that retrieves cloud signals in the vicinity of a partially transmitting band, such as the 1.13 micrometer band, over any type of spatially structured terrain is described.