| Paper Details: | Downloads: 480 |
| Serial Number: | P1151215168
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| Title: | Modeling of the precipitations in radar and satellite images using the Autoregressive process
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| Authors: | L. Sadouki and B. Haddad and D. Kemikem
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| Abstract: | The aim of this paper is a modeling of precipitations in satellite and radar images that are useful for hydrologic applications. An investigation on a possible different description of precipitations over the sea and on the continent is attempted in images concerning the Mediterranean region. The model used in this work 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 IR03.9 Meteosat channel, and 4088 radar images recorded by the incoherent pulsed radar of sétif (Algeria).
To conduct a detailed study of the phenomenon, a scanning area of 120×400 Km in the two areas (sea and continent) is adapted to examine all precipitation areas on the images, using a windows (5×5 pixels) process.
The order of the AR model found in this paper, for the Mediterranean region and using the two types of images, is “1”, which is invariant in time and in space.
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| Keywords: | Autoregressive, precipitations, Modeling, Images, Satellite, Radar.
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 12
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| Issue: | 1
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| Submission Date: | 4/10/2012 12:00:00 AM
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| Review Date: | 4/11/2012 12:00:00 AM
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| Publishing Date: | 4/11/2012 12:00:00 AM
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| Article Downloads: | 480
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