Journal ArticleOPEN ACCESS

Lira-YOLO: A lightweight model for ship detection in radar images

  • Long Z
  • Suyuan W
  • Zhongma C
  • et al.
Journal of Systems Engineering and Electronics (2020) 31(5) 950-956
DOI: 10.23919/jsee.2020.000063
N/ACitations
Citations of this article
26Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

… application of deep learning to the detection of marine objects in radar images has become a research hotspot … include the calculation of the anchor point coordinates suitable for the dataset by the K-means algorithm, the … Fire Control & Command Control, 2019, 44(1): 40 – 44 …

Cite

CITATION STYLE

APA

Long, Z., Suyuan, W., Zhongma, C., Jiaqi, F., Xiaoting, Y., & Wei, D. (2020). Lira-YOLO: A lightweight model for ship detection in radar images. Journal of Systems Engineering and Electronics, 31(5), 950–956. https://doi.org/10.23919/jsee.2020.000063

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free