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Title: Estimating atmospheric parameters and reducing noise for multispectral imaging

Abstract

A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.

Inventors:
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1125011
Patent Number(s):
8,660,359
Application Number:
13/365,198
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA)
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Patent
Resource Relation:
Patent File Date: 2012 Feb 02
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Conger, James Lynn. Estimating atmospheric parameters and reducing noise for multispectral imaging. United States: N. p., 2014. Web.
Conger, James Lynn. Estimating atmospheric parameters and reducing noise for multispectral imaging. United States.
Conger, James Lynn. 2014. "Estimating atmospheric parameters and reducing noise for multispectral imaging". United States. https://www.osti.gov/servlets/purl/1125011.
@article{osti_1125011,
title = {Estimating atmospheric parameters and reducing noise for multispectral imaging},
author = {Conger, James Lynn},
abstractNote = {A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.},
doi = {},
url = {https://www.osti.gov/biblio/1125011}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 25 00:00:00 EST 2014},
month = {Tue Feb 25 00:00:00 EST 2014}
}

Works referenced in this record:

Spectral imaging system
patent-application, July 2005


New approach to atmospheric correction of hyperspectral data
conference, August 2002


Estimating atmosphere parameters in hyperspectral data
conference, April 2010


Atmospheric invariants for hyperspectral image correction
conference, May 2008


Autonomous atmospheric compensation (AAC) of high resolution hyperspectral thermal infrared remote-sensing imagery
journal, January 2000


Works referencing / citing this record:

Automated and scalable object and feature extraction from imagery
patent, February 2017