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

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	545-548
Number of pages	4
ISBN (Electronic)	9781728190457
DOIs	https://doi.org/10.1109/ICEICT51264.2020.9334232
State	Published - 13 Nov 2020
Event	3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020 - Shenzhen, China Duration: 13 Nov 2020 → 15 Nov 2020

Publication series

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

Conference

Conference	3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020
Country/Territory	China
City	Shenzhen
Period	13/11/20 → 15/11/20

Keywords

feature extraction
sea clutter
support vector machine
target detection

Access to Document

10.1109/ICEICT51264.2020.9334232

Cite this

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. In ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology (pp. 545-548). Article 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 et al. / 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. pp. 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. in 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., pp. 545-548, 3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020, Shenzhen, China, 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 et al.
ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc., 2020. p. 545-548 9334232 (ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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U2 - 10.1109/ICEICT51264.2020.9334232

DO - 10.1109/ICEICT51264.2020.9334232

M3 - 会议稿件

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

SP - 545

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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. In ICEICT 2020 - IEEE 3rd International Conference on Electronic Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc. 2020. p. 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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