Feature Extraction and Recognition of Rotational Target under the Sea Background

Bing Zhu, Weixin Gao, Yali Qin, Wenfeng Li, Xianglong Kong

Abstract

Considering the impact of sea clutter on target classification and recognition, a method based on RBF is proposed to restrain the actual sea clutter, which can be converted the sea clutter into random noise. After denosing, a S transform time-frequency approach is used to obtain the two time-frequency distribution images. They are helicopter and propeller aircraft images with nosie. Then extracted the invariant moment features of images for target recognition. The simulation results have shown an average accuracy of 85%, which validates the effectiveness of this method.

References

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Paper Citation


in Harvard Style

Zhu B., Gao W., Qin Y., Li W. and Kong X. (2016). Feature Extraction and Recognition of Rotational Target under the Sea Background . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 508-513. DOI: 10.5220/0005980805080513


in Bibtex Style

@conference{icinco16,
author={Bing Zhu and Weixin Gao and Yali Qin and Wenfeng Li and Xianglong Kong},
title={Feature Extraction and Recognition of Rotational Target under the Sea Background},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={508-513},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005980805080513},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Feature Extraction and Recognition of Rotational Target under the Sea Background
SN - 978-989-758-198-4
AU - Zhu B.
AU - Gao W.
AU - Qin Y.
AU - Li W.
AU - Kong X.
PY - 2016
SP - 508
EP - 513
DO - 10.5220/0005980805080513