@inproceedings{a6f3f4a2074b44388037ca3c9fddff30,
title = "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-noiseratios, 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.",
keywords = "Land/Sea clutter, Multi-features, OTHR, Passive beacon, SVM",
author = "Zhenlu Jin and Quan Pan and Chunhui Zhao and Wentian Zhou",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.236-237.1156",
language = "英语",
isbn = "9783037855317",
series = "Applied Mechanics and Materials",
pages = "1156--1162",
booktitle = "Advanced Technology for Manufacturing Systems and Industry",
note = "2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012 ; Conference date: 08-09-2012 Through 09-09-2012",
}