Ship detection based on semantic aggregation for video surveillance images with complex backgrounds
The proposed method surpasses other existing ship detection techniques in terms of detection effect and meets real-time detection requirements, underscoring its engineering relevance.
Authors
- Yongmei Ren (ORCID: https://orcid.org/0000-0003-1731-6397)
- Haibo Liu (ORCID: https://orcid.org/0000-0002-2765-2004)
- Wei He (ORCID: https://orcid.org/0000-0003-2357-7673)
- Dongrui Xiao (ORCID: https://orcid.org/0000-0003-1045-1262)
- Jie Yang (ORCID: https://orcid.org/0000-0001-5783-5728)
- Xiaohu Wang (ORCID: https://orcid.org/0000-0001-6154-2020)
Institutions
- Wuhan University of Technology (CN)
- Hunan Institute of Technology (CN)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2024-12-23
- DOI
- https://doi.org/10.7717/peerj-cs.2624
- Citations
- 1
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province