Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector

Dan Fang; Jia Su; Haojiano Li; Xiang Zhang; Yifei Fan; Tao Li

doi:10.1109/ICEICT51264.2020.9334232

Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector

Dan Fang, Jia Su, Haojiano Li, Xiang Zhang, Yifei Fan, Tao Li

电子信息学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

A SVM detector utilizing three time-frequency features is proposed to discriminate floating small targets in sea clutter environment. The detector consists of three stages. Firstly, transform radar echoes into time-frequency domain. Then, three features, i.e. kurtosis, skewness and concentration, are extracted in the time-frequency domain. Finally, two-class support vector machine (SVM) detector is used to find floating small target under sea clutter background. The result of experiments using real datasets under different circumstances verifies the performance of our proposed method.

源语言	英语
主期刊名	ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology
出版商	Institute of Electrical and Electronics Engineers Inc.
页	545-548
页数	4
ISBN（电子版）	9781728190457
DOI	https://doi.org/10.1109/ICEICT51264.2020.9334232
出版状态	已出版 - 13 11月 2020
活动	3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020 - Shenzhen, 中国期限: 13 11月 2020 → 15 11月 2020

出版系列

姓名	ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology

会议

会议	3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020
国家/地区	中国
市	Shenzhen
时期	13/11/20 → 15/11/20

访问文件

10.1109/ICEICT51264.2020.9334232

其它文件与链接

链接到 Scopus 的出版物

引用此

Fang, D., Su, J., Li, H., Zhang, X., Fan, Y., & Li, T. (2020). Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector. 在 ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology (页码 545-548). 文章 9334232 (ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT51264.2020.9334232

Fang, Dan ; Su, Jia ; Li, Haojiano 等. / Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector. ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 545-548 (ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology).

@inproceedings{c1f2f22535ab43a7ae91981dfb3fb53d,

title = "Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector",

abstract = "A SVM detector utilizing three time-frequency features is proposed to discriminate floating small targets in sea clutter environment. The detector consists of three stages. Firstly, transform radar echoes into time-frequency domain. Then, three features, i.e. kurtosis, skewness and concentration, are extracted in the time-frequency domain. Finally, two-class support vector machine (SVM) detector is used to find floating small target under sea clutter background. The result of experiments using real datasets under different circumstances verifies the performance of our proposed method.",

keywords = "feature extraction, sea clutter, support vector machine, target detection",

author = "Dan Fang and Jia Su and Haojiano Li and Xiang Zhang and Yifei Fan and Tao Li",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020 ; Conference date: 13-11-2020 Through 15-11-2020",

year = "2020",

month = nov,

day = "13",

doi = "10.1109/ICEICT51264.2020.9334232",

language = "英语",

series = "ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "545--548",

booktitle = "ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology",

}

Fang, D, Su, J, Li, H, Zhang, X, Fan, Y & Li, T 2020, Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector. 在 ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology., 9334232, ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology, Institute of Electrical and Electronics Engineers Inc., 页码 545-548, 3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020, Shenzhen, 中国, 13/11/20. https://doi.org/10.1109/ICEICT51264.2020.9334232

Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector. / Fang, Dan; Su, Jia; Li, Haojiano 等.
ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 545-548 9334232 (ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector

AU - Fang, Dan

AU - Su, Jia

AU - Li, Haojiano

AU - Zhang, Xiang

AU - Fan, Yifei

AU - Li, Tao

PY - 2020/11/13

Y1 - 2020/11/13

N2 - A SVM detector utilizing three time-frequency features is proposed to discriminate floating small targets in sea clutter environment. The detector consists of three stages. Firstly, transform radar echoes into time-frequency domain. Then, three features, i.e. kurtosis, skewness and concentration, are extracted in the time-frequency domain. Finally, two-class support vector machine (SVM) detector is used to find floating small target under sea clutter background. The result of experiments using real datasets under different circumstances verifies the performance of our proposed method.

AB - A SVM detector utilizing three time-frequency features is proposed to discriminate floating small targets in sea clutter environment. The detector consists of three stages. Firstly, transform radar echoes into time-frequency domain. Then, three features, i.e. kurtosis, skewness and concentration, are extracted in the time-frequency domain. Finally, two-class support vector machine (SVM) detector is used to find floating small target under sea clutter background. The result of experiments using real datasets under different circumstances verifies the performance of our proposed method.

KW - feature extraction

KW - sea clutter

KW - support vector machine

KW - target detection

UR - http://www.scopus.com/inward/record.url?scp=85101142477&partnerID=8YFLogxK

U2 - 10.1109/ICEICT51264.2020.9334232

DO - 10.1109/ICEICT51264.2020.9334232

M3 - 会议稿件

AN - SCOPUS:85101142477

T3 - ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology

SP - 545

EP - 548

BT - ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020

Y2 - 13 November 2020 through 15 November 2020

ER -

Fang D, Su J, Li H, Zhang X, Fan Y, Li T. Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector. 在 ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc. 2020. 页码 545-548. 9334232. (ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology). doi: 10.1109/ICEICT51264.2020.9334232

Small Target Detection in Sea Clutter by Time-Frequency Tri-Feature based SVM Detector

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