An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 3
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.
Authors and Affiliations
Mehdia Hedir*| University of Science and Technology Houari Boumediene , Beb ezzouar – BP32, Algeria, Boualem Haddad| University of Science and Technology Houari Boumediene , Beb ezzouar – BP32, Algeria
Keywords
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- EP ID EP802
- DOI 10.18201/ijisae.94394
- Views 419
- Downloads 26
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