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An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM

Year 2016, Volume: 4 Issue: 3, 71 - 75, 01.11.2016

Mehdia Hedir

https://doi.org/10.18201/ijisae.94394

Abstract

The use of the Support Vector Machine (SVM) technique for the clutter identification in the context of meteorological data is presented. The clutter is due to ground echoes and anomalous propagation. The SVM is combined with textural approach which is based on the Grey Level Co-occurrence Matrix (GLCM) that is the most used in the textural analysis image. An incoherent radar site is considered for this study. The results reveal that over than 91.1% of ground echoes are identified and 90.3% of precipitations are preserved. In addition 95.99% of anomalous propagation are removed. The use of our approach is lasts than 1mn for the treatment of each image. We can then filter the radar image in real time

Keywords

Precipitation echoes ground echoes anomalous propagation textural parameters support vector machine.

Year 2016, Volume: 4 Issue: 3, 71 - 75, 01.11.2016

Mehdia Hedir

https://doi.org/10.18201/ijisae.94394

Abstract

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Journal Section Research Article
Authors

Mehdia Hedir

Publication Date November 1, 2016
Published in Issue Year 2016 Volume: 4 Issue: 3

Cite

APA Hedir, M. (2016). An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM. International Journal of Intelligent Systems and Applications in Engineering, 4(3), 71-75. https://doi.org/10.18201/ijisae.94394
AMA Hedir M. An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM. International Journal of Intelligent Systems and Applications in Engineering. November 2016;4(3):71-75. doi:10.18201/ijisae.94394
Chicago Hedir, Mehdia. “An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM”. International Journal of Intelligent Systems and Applications in Engineering 4, no. 3 (November 2016): 71-75. https://doi.org/10.18201/ijisae.94394.
EndNote Hedir M (November 1, 2016) An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM. International Journal of Intelligent Systems and Applications in Engineering 4 3 71–75.
IEEE M. Hedir, “An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM”, International Journal of Intelligent Systems and Applications in Engineering, vol. 4, no. 3, pp. 71–75, 2016, doi: 10.18201/ijisae.94394.
ISNAD Hedir, Mehdia. “An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM”. International Journal of Intelligent Systems and Applications in Engineering 4/3 (November 2016), 71-75. https://doi.org/10.18201/ijisae.94394.
JAMA Hedir M. An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:71–75.
MLA Hedir, Mehdia. “An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM”. International Journal of Intelligent Systems and Applications in Engineering, vol. 4, no. 3, 2016, pp. 71-75, doi:10.18201/ijisae.94394.
Vancouver Hedir M. An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(3):71-5.