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}
}
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Works referencing / citing this record:
Automated and scalable object and feature extraction from imagery
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- Marchisio, Giovanni B.; Tabb, Mark; Tusk, Carsten
- US Patent Document 9,569,690