BibTex RIS Kaynak Göster

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

Yıl 2016, , 71 - 75, 01.11.2016

Mehdia Hedir

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

Öz

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

Anahtar Kelimeler

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

Yıl 2016, , 71 - 75, 01.11.2016

Mehdia Hedir

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

Öz

Toplam 0 adet kaynakça vardır.

Ayrıntılar

Bölüm Research Article
Yazarlar

Mehdia Hedir

Yayımlanma Tarihi 1 Kasım 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

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. Kasım 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, sy. 3 (Kasım 2016): 71-75. https://doi.org/10.18201/ijisae.94394.
EndNote Hedir M (01 Kasım 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, c. 4, sy. 3, ss. 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 (Kasım 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, c. 4, sy. 3, 2016, ss. 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.