NDLI: Intelligent Data Thinning Algorithms for Satellite Imagery

Content Provider	IEEE Xplore Digital Library
Author	Zavodsky, B. Lazarus, S. Xiang Li Lueken, M. Splitt, M. Ramachandran, R. Movva, S. Graves, S. Lapenta, W.
Copyright Year	2008
Description	Author affiliation: NASA/Marshall Space Flight Center, Huntsville, AL (Lapenta, W.) \|\| Earth Syst. Sci. Center, Univ. of Alabama in Huntsville, Huntsville, AL (Zavodsky, B.) \|\| Inf. Technol. & Syst. Center, Univ. of Alabama in Huntsville, Huntsville, AL (Xiang Li; Ramachandran, R.; Movva, S.; Graves, S.) \|\| Florida Inst. of Technol., Melbourne, FL (Lazarus, S.; Lueken, M.; Splitt, M.)
Abstract	This paper presents a study on intelligent data thinning for satellite data. In particular, the focus is on the thinning of the Atmospheric Infrared Sounder (AIRS) profiles. A direct thinning method is first applied to a synthetic data set in order to identify optimal data selection strategies. Experiments on synthetic data suggest that a thinned data set should combine homogeneous samples, and high gradient and variance of gradient samples for optimal performance. This result leads to the modification of our previously developed Density Adjustment Data Thinning algorithm (DADT). The modified DADT (mDADT) algorithm is used to thin the AIRS profiles. Experiments are conducted to compare the thinning performances of mDADT with two simple thinning algorithms. Experiment results show that mDADT algorithm performs better than the two simple thinning algorithms, especially over the regions of significant atmospheric features.
File Size	299064
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4779430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Error analysis Spatial resolution Space technology Information technology Geoscience NASA Acoustic testing Thermodynamics Information retrieval
Content Type	Text
Resource Type	Article

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