SAR Target Detection Based on NCM-1K Clustering

Lina Zeng; Deyun Zhou; Xiaoyang Li; Weiren Kong; Weinan Gao

doi:10.1109/IWS52775.2021.9499650

SAR Target Detection Based on NCM-1K Clustering

Lina Zeng
, Deyun Zhou
, Xiaoyang Li
, Weiren Kong
, Weinan Gao

School of Electronics and Information

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

In training-free Synthetic Aperture Radar (SAR) target detection, it is difficult to distinguish targets and non-targets accurately. To solve the problem, a new improved NCM clustering method with one clustering center (K=1), as called NCM-1K clustering method, is proposed in this paper. The principle of NCM-1K is to divide the potential target areas into target areas and non-target areas according to the Polar Scale-Invariant Feature Transform (PSIFT) descriptor. The proposed NCM-1K clustering method can realize the SAR target detection with free-training. Experimental results verify the feasibility and effectiveness of proposed method.

Original language	English
Title of host publication	2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665435277
DOIs	https://doi.org/10.1109/IWS52775.2021.9499650
State	Published - 2021
Event	2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Nanjing, China Duration: 23 May 2021 → 26 May 2021

Publication series

Name	2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings

Conference

Conference	2021 IEEE MTT-S International Wireless Symposium, IWS 2021
Country/Territory	China
City	Nanjing
Period	23/05/21 → 26/05/21

Keywords

Clustering methods
Feature extraction
Image classification
Synthetic aperture radar

Access to Document

10.1109/IWS52775.2021.9499650

Cite this

@inproceedings{e117bfd6e3be4c39af266942b8006bab,

title = "SAR Target Detection Based on NCM-1K Clustering",

abstract = "In training-free Synthetic Aperture Radar (SAR) target detection, it is difficult to distinguish targets and non-targets accurately. To solve the problem, a new improved NCM clustering method with one clustering center (K=1), as called NCM-1K clustering method, is proposed in this paper. The principle of NCM-1K is to divide the potential target areas into target areas and non-target areas according to the Polar Scale-Invariant Feature Transform (PSIFT) descriptor. The proposed NCM-1K clustering method can realize the SAR target detection with free-training. Experimental results verify the feasibility and effectiveness of proposed method.",

keywords = "Clustering methods, Feature extraction, Image classification, Synthetic aperture radar",

author = "Lina Zeng and Deyun Zhou and Xiaoyang Li and Weiren Kong and Weinan Gao",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE MTT-S International Wireless Symposium, IWS 2021 ; Conference date: 23-05-2021 Through 26-05-2021",

year = "2021",

doi = "10.1109/IWS52775.2021.9499650",

language = "英语",

series = "2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings",

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

booktitle = "2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings",

}

Zeng, L, Zhou, D, Li, X, Kong, W & Gao, W 2021, SAR Target Detection Based on NCM-1K Clustering. in 2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings. 2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE MTT-S International Wireless Symposium, IWS 2021, Nanjing, China, 23/05/21. https://doi.org/10.1109/IWS52775.2021.9499650

SAR Target Detection Based on NCM-1K Clustering. / Zeng, Lina; Zhou, Deyun; Li, Xiaoyang et al.
2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings).

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

TY - GEN

T1 - SAR Target Detection Based on NCM-1K Clustering

AU - Zeng, Lina

AU - Zhou, Deyun

AU - Li, Xiaoyang

AU - Kong, Weiren

AU - Gao, Weinan

PY - 2021

Y1 - 2021

N2 - In training-free Synthetic Aperture Radar (SAR) target detection, it is difficult to distinguish targets and non-targets accurately. To solve the problem, a new improved NCM clustering method with one clustering center (K=1), as called NCM-1K clustering method, is proposed in this paper. The principle of NCM-1K is to divide the potential target areas into target areas and non-target areas according to the Polar Scale-Invariant Feature Transform (PSIFT) descriptor. The proposed NCM-1K clustering method can realize the SAR target detection with free-training. Experimental results verify the feasibility and effectiveness of proposed method.

AB - In training-free Synthetic Aperture Radar (SAR) target detection, it is difficult to distinguish targets and non-targets accurately. To solve the problem, a new improved NCM clustering method with one clustering center (K=1), as called NCM-1K clustering method, is proposed in this paper. The principle of NCM-1K is to divide the potential target areas into target areas and non-target areas according to the Polar Scale-Invariant Feature Transform (PSIFT) descriptor. The proposed NCM-1K clustering method can realize the SAR target detection with free-training. Experimental results verify the feasibility and effectiveness of proposed method.

KW - Clustering methods

KW - Feature extraction

KW - Image classification

KW - Synthetic aperture radar

UR - https://www.scopus.com/pages/publications/85124549360

U2 - 10.1109/IWS52775.2021.9499650

DO - 10.1109/IWS52775.2021.9499650

M3 - 会议稿件

AN - SCOPUS:85124549360

T3 - 2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings

BT - 2021 IEEE MTT-S International Wireless Symposium, IWS 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE MTT-S International Wireless Symposium, IWS 2021

Y2 - 23 May 2021 through 26 May 2021

ER -

SAR Target Detection Based on NCM-1K Clustering

Abstract

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Keywords

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