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
Related Articles
- EP ID EP802
- DOI 10.18201/ijisae.94394
- Views 449
- Downloads 26
SVM-Based Sleep Apnea Identification Using Optimal RR-Interval Features of the ECG Signal
Sleep apnea (SA) is the most commonly known sleeping disorder characterized by pauses of airflow to the lungs and often results in day and night time symptoms such as impaired concentration, depression, memory loss, snor...
The Principal Component Analysis Method Based Descriptor for Visual Object Classification
In the field of machine learning, which values / data labeling or recognition is done by pattern recognition. Visual object classification is an example of pattern recognition, which attempts prompt to assign each object...
Diagnosis of Anemia in Children via Artificial Neural Network
In this paper, a neural network algorithm, which diagnosis of anemia for children under 18 years of age, is presented. The network is trained by using data from hemogram test results from 30 patients and an ex...
Fusion of Target Detection Algorithms in Hyperspectral Images
Target detection in hyperspectral images is important in many applications including search and rescue operations, defence systems, mineral exploration and border security. For this purpose, several target detection algo...
Banknote Classification Using Artificial Neural Network Approach
In this study, clustering process has been performed using artificial neural network (ANN) approach on the pictures belonging to our dataset to determine if the banknotes are genuine or counterfeit. Four input parameter...