Keywords
geophysical signal processing, geophysical techniques, radiometry, remote sensing, terrain mapping
Abstract
Microwave radiometers, while traditionally utilized in atmospheric and oceanic studies, can also be used in land surface applications. However, the problem of undesirable atmospheric effects caused by clouds and precipitation must be addressed. In this paper, temporal composite surface brightness images are generated from special sensor microwave/imager (SSM/I) data with the aid of new algorithms to eliminate small-scale distortion caused by clouds or precipitation. Mean, second-highest value, modified maximum average (MMA), and hybrid compositing algorithms are compared. The effectiveness of each algorithm is illustrated through simulation and real data distribution analysis. The results show that the second-highest value algorithm is biased high. MMA provides a more accurate brightness temperature estimate in areas of atmospheric distortion, while the mean is superior in regions with little or no distortion. A hybrid algorithm is developed that is a combination of MMA and mean. It utilizes the strengths of both to create a superior algorithm for regions with varying levels of distortion. Uses of composite images produced by these algorithms include studies of vegetation change, land cover classification, and surface parameter extraction.
Original Publication Citation
Long, D. G., Q. P. Remund, and D. L. Daum. "A Cloud-Removal Algorithm for SSM/I Data." Geoscience and Remote Sensing, IEEE Transactions on 37.1 illustrated through simulation and real data distribution analysis. The results show that the second-highest value algorithm is biased high. MMA provides a more accurate brightness temperature estimate in areas of atmospheric distortion, whil(TRUNCATED) (1999): 54-62
BYU ScholarsArchive Citation
Long, David G.; Daum, Douglas L.; and Remund, Quinn P., "A cloud-removal algorithm for SSM/I data" (1999). Faculty Publications. 631.
https://scholarsarchive.byu.edu/facpub/631
Document Type
Peer-Reviewed Article
Publication Date
1999-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/1002
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
© 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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