New approach to atmospheric correction of hyperspectral data

Michael D. Abel; Jill M. Zenner; Gary A. Petrick; Alan T. Buswell; Martin L. Pilati; William R. Czyzewski; Lawrence P. Alessandro; Sandra K. Weaver

doi:10.1117/12.478738

2 August 2002 New approach to atmospheric correction of hyperspectral data

Michael D. Abel, Jill M. Zenner, Gary A. Petrick, Alan T. Buswell, Martin L. Pilati, William R. Czyzewski, Lawrence P. Alessandro, Sandra K. Weaver

Author Affiliations +

Proceedings Volume 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII; (2002) https://doi.org/10.1117/12.478738
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A combined radiative transfer model and statistical approach to atmospheric correction of hyperspectral data, called MODFULL, has been developed and tested. MODFULL retrieves in-scene water vapor and aerosol (without the aid of dark pixels) which it uses for atmospheric correction. It also provides the user with checks on spectral registration of the hyperspectral data being processed. A description of this model will be given along with an analysis of its strengths and weaknesses. A summery of test results using comparisons with an industry standard Empirical Line Method (ELM) correction will also be presented.

Citation Download Citation

Michael D. Abel, Jill M. Zenner, Gary A. Petrick, Alan T. Buswell, Martin L. Pilati, William R. Czyzewski, Lawrence P. Alessandro, and Sandra K. Weaver "New approach to atmospheric correction of hyperspectral data", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478738

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available