A Two-Level Cascade Detection Algorithm for X-Band Marine Radar

Jifa Zhang; Jinping Sun; Huan Ma; Yutao Zhang

doi:10.1109/CISP-BMEI56279.2022.9980212

A Two-Level Cascade Detection Algorithm for X-Band Marine Radar

Jifa Zhang
, Jinping Sun
, Huan Ma
, Yutao Zhang

School of Electronic and Information Engineering

Beihang University
China State Shipbuilding Corporation

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

Abstract

X-Band marine radar plays an important role in maritime detection. The targets are the extended targets due to the high resolution and the strong reflection targets have strong sidelobe. Besides, there are much clutter and noises in the radar echo. In this letter, we propose a two-level cascade detection algorithm for X-Band marine radar. The first-level detector, which consists of CFAR detector, Ostu algorithm and opening operation, aims to detect the suspicious extended targets as many as possible. Firstly, the CFAR detector is utilized to suppress the clutter and sidelobe. Then the Ostu algorithm and opening operation are utilized to segment the extended targets. Furthermore, we impose different ratios for the targets to handle different targets scales. The designed lightweight convolutional neural network (CNN), which combines the AlexNet design idea and convolutional block attention module (CBAM), acts as the second-level detector to distinguish between the true targets and false alarms.

Original language	English
Title of host publication	Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022
Editors	Xin Chen, Lin Cao, Qingli Li, Yan Wang, Lipo Wang
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665488877
DOIs	https://doi.org/10.1109/CISP-BMEI56279.2022.9980212
State	Published - 2022
Event	15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022 - Beijing, China Duration: 5 Nov 2022 → 7 Nov 2022

Publication series

Name	Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

Conference

Conference	15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022
Country/Territory	China
City	Beijing
Period	5/11/22 → 7/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Constant false alarm ratio
convolutional block attention module
convolutional neural network
Ostu algorithm
target detection

Access to Document

10.1109/CISP-BMEI56279.2022.9980212

Cite this

Zhang, J., Sun, J., Ma, H., & Zhang, Y. (2022). A Two-Level Cascade Detection Algorithm for X-Band Marine Radar. In X. Chen, L. Cao, Q. Li, Y. Wang, & L. Wang (Eds.), Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022 (Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP-BMEI56279.2022.9980212

Zhang, Jifa ; Sun, Jinping ; Ma, Huan et al. / A Two-Level Cascade Detection Algorithm for X-Band Marine Radar. Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022. editor / Xin Chen ; Lin Cao ; Qingli Li ; Yan Wang ; Lipo Wang. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022).

@inproceedings{9ed100195760469783a5a4c78615b8a1,

title = "A Two-Level Cascade Detection Algorithm for X-Band Marine Radar",

abstract = "X-Band marine radar plays an important role in maritime detection. The targets are the extended targets due to the high resolution and the strong reflection targets have strong sidelobe. Besides, there are much clutter and noises in the radar echo. In this letter, we propose a two-level cascade detection algorithm for X-Band marine radar. The first-level detector, which consists of CFAR detector, Ostu algorithm and opening operation, aims to detect the suspicious extended targets as many as possible. Firstly, the CFAR detector is utilized to suppress the clutter and sidelobe. Then the Ostu algorithm and opening operation are utilized to segment the extended targets. Furthermore, we impose different ratios for the targets to handle different targets scales. The designed lightweight convolutional neural network (CNN), which combines the AlexNet design idea and convolutional block attention module (CBAM), acts as the second-level detector to distinguish between the true targets and false alarms.",

keywords = "Constant false alarm ratio, convolutional block attention module, convolutional neural network, Ostu algorithm, target detection",

author = "Jifa Zhang and Jinping Sun and Huan Ma and Yutao Zhang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022 ; Conference date: 05-11-2022 Through 07-11-2022",

year = "2022",

doi = "10.1109/CISP-BMEI56279.2022.9980212",

language = "英语",

series = "Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022",

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

editor = "Xin Chen and Lin Cao and Qingli Li and Yan Wang and Lipo Wang",

booktitle = "Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022",

address = "美国",

}

Zhang, J, Sun, J, Ma, H & Zhang, Y 2022, A Two-Level Cascade Detection Algorithm for X-Band Marine Radar. in X Chen, L Cao, Q Li, Y Wang & L Wang (eds), Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022. Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022, Institute of Electrical and Electronics Engineers Inc., 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022, Beijing, China, 5/11/22. https://doi.org/10.1109/CISP-BMEI56279.2022.9980212

A Two-Level Cascade Detection Algorithm for X-Band Marine Radar. / Zhang, Jifa; Sun, Jinping; Ma, Huan et al.
Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022. ed. / Xin Chen; Lin Cao; Qingli Li; Yan Wang; Lipo Wang. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022).

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

TY - GEN

T1 - A Two-Level Cascade Detection Algorithm for X-Band Marine Radar

AU - Zhang, Jifa

AU - Sun, Jinping

AU - Ma, Huan

AU - Zhang, Yutao

PY - 2022

Y1 - 2022

N2 - X-Band marine radar plays an important role in maritime detection. The targets are the extended targets due to the high resolution and the strong reflection targets have strong sidelobe. Besides, there are much clutter and noises in the radar echo. In this letter, we propose a two-level cascade detection algorithm for X-Band marine radar. The first-level detector, which consists of CFAR detector, Ostu algorithm and opening operation, aims to detect the suspicious extended targets as many as possible. Firstly, the CFAR detector is utilized to suppress the clutter and sidelobe. Then the Ostu algorithm and opening operation are utilized to segment the extended targets. Furthermore, we impose different ratios for the targets to handle different targets scales. The designed lightweight convolutional neural network (CNN), which combines the AlexNet design idea and convolutional block attention module (CBAM), acts as the second-level detector to distinguish between the true targets and false alarms.

AB - X-Band marine radar plays an important role in maritime detection. The targets are the extended targets due to the high resolution and the strong reflection targets have strong sidelobe. Besides, there are much clutter and noises in the radar echo. In this letter, we propose a two-level cascade detection algorithm for X-Band marine radar. The first-level detector, which consists of CFAR detector, Ostu algorithm and opening operation, aims to detect the suspicious extended targets as many as possible. Firstly, the CFAR detector is utilized to suppress the clutter and sidelobe. Then the Ostu algorithm and opening operation are utilized to segment the extended targets. Furthermore, we impose different ratios for the targets to handle different targets scales. The designed lightweight convolutional neural network (CNN), which combines the AlexNet design idea and convolutional block attention module (CBAM), acts as the second-level detector to distinguish between the true targets and false alarms.

KW - Constant false alarm ratio

KW - convolutional block attention module

KW - convolutional neural network

KW - Ostu algorithm

KW - target detection

UR - https://www.scopus.com/pages/publications/85146232309

U2 - 10.1109/CISP-BMEI56279.2022.9980212

DO - 10.1109/CISP-BMEI56279.2022.9980212

M3 - 会议稿件

AN - SCOPUS:85146232309

T3 - Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

BT - Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

A2 - Chen, Xin

A2 - Cao, Lin

A2 - Li, Qingli

A2 - Wang, Yan

A2 - Wang, Lipo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

Y2 - 5 November 2022 through 7 November 2022

ER -

Zhang J, Sun J, Ma H, Zhang Y. A Two-Level Cascade Detection Algorithm for X-Band Marine Radar. In Chen X, Cao L, Li Q, Wang Y, Wang L, editors, Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022). doi: 10.1109/CISP-BMEI56279.2022.9980212

A Two-Level Cascade Detection Algorithm for X-Band Marine Radar

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this