Published February 1982
| Published
Journal Article
Open
Reconstruction of atmospheric pollutant concentrations from remote sensing data--An application of distributed parameter observer theory
- Creators
- Koda, Masato
-
Seinfeld, John H.
Chicago
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Abstract
The reconstruction of a concentration distribution from spatially averaged and noise-corrupted data is a central problem in processing atmospheric remote sensing data. Distributed parameter observer theory is used to develop reconstructibility conditions for distributed parameter systems having measurements typical of those in remote sensing. The relation of the reconstructibility condition to the stability of the distributed parameter observer is demonstrated. The theory is applied to a variety of remote sensing situations, and it is found that those in which concentrations are measured as a function of altitude satisfy the conditions of distributed state reconstructibility.
Additional Information
© 1982 IEEE. Manuscript received September 9. 1980; revised September 22. 1980 and March 9. 1981. Paper recommended by A. Ephremides, Past Chairman of the Estimation Committee. This work was supported by NASA under Research Grant NAG-1-71.Attached Files
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Additional details
- Eprint ID
- 79633
- Resolver ID
- CaltechAUTHORS:20170731-155607098
- NASA
- NAG-1-71
- Created
-
2017-08-01Created from EPrint's datestamp field
- Updated
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2023-04-25Created from EPrint's last_modified field