Improving Ship Detection Based on Decision Tree Classification for High Frequency Surface Wave Radar

Improving Ship Detection Based on Decision Tree Classification for High Frequency Surface Wave Radar

The traditional constant false alarm rate (CFAR) method, with fixed parameter settings and single noise background calculation, is unable to intelligently catch the current detection background. To improve the performance of the CFAR method, this paper proposes a target detection method based on dec...

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Bibliographic Details
Main Authors: Zhiqing Yang, Yeping Lai, Hao Zhou, Yingwei Tian, Yao Qin, Zongwang Lv
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Marine Science and Engineering
Subjects:
HFSWR
decision tree
target classification and detection
Online Access:https://www.mdpi.com/2077-1312/11/3/493

Internet

https://www.mdpi.com/2077-1312/11/3/493

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