SVM Based Land/Sea Clutter Classification Algorithm

Abstract:

In this paper, a support vector machine (SVM) based land/sea clutter classification algorithm was proposed. For target location error correction based on passive beacon reference source of over-the-horizon radar (OTHR), the signal model of land/sea clutter is established, the three kinds of multi-features of land/sea clutter are analyzed, and the classification algorithm based on SVM using multi-features is detailed. Simulation experiments were carried out for different clutter-noise- ratios, and the results showed that the proposed algorithm has a higher recognition rate of land/sea clutter than algorithms based on single feature of backscatter amplitude or linear discriminant analysis. This paper could provide theoretical guidance for improving target location accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 1156-1162
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.1156
• Online since: November 2012
• Authors: Zhen Lu Jin, Quan Pan, Chun Hui Zhao, Wen Tian Zhou
• Keywords: Land Clutter, Multi-Features, OTHR, Passive Beacon, Sea Clutter, Support Vector Machine (SVM)

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