| Paper Details: | Downloads: 667 |
| Serial Number: | P1151133719
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| Title: | Meteorological satellite images modeling using autoregressive process
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| Authors: | L. Sadouki and B. Haddad and D. Kemikem
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| Abstract: | The objective of this work is a modeling of the satellite images precipitations (or rainfalls) that are useful for hydrologic applications and an investigation on a possible different description of precipitations over the sea and on the continent are attempted in the satellite images concerning the Mediterranean region. The model used in this paper is the autoregressive process AR (p), where p is its order. This model makes possible the description of a series of 2208 satellite images, recorded during a period of 3 months via the Meteosat channel IR03.9.
To conduct a detailed study of the phenomenon, a scanning area of 20×50 pixels in the two areas (sea and continent) is adapted to examine all precipitation areas on the images, using a window (5X5 pixels) and a pixel-by- pixel processes.
The order of the AR model found in this paper, for the Mediterranean region, is “1”, which is invariant in time and space.
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| Keywords: | Images, Modeling, précipitations, rainfalls, Meteosat, Aautoregressive, Satellite.
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| Journal/Conference: | ICGST Conference on Computer Science and Engineering, CSE-11
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| Submission Date: | 8/14/2011 12:00:00 AM
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| Review Date: | 11/26/2011 12:00:00 AM
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| Publishing Date: | 12/19/2011 12:00:00 AM
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| Article Downloads: | 667
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