Cai, Yang https://orcid.org/0009-0004-4885-2867
Shi, YuHu https://orcid.org/0000-0002-4009-2849
Chen, Hongyu https://orcid.org/0009-0004-2934-3135
Wang, Fei https://orcid.org/0009-0005-3061-0496
Chen, Chengcheng https://orcid.org/0000-0002-6014-5135
Hu, Xingyu https://orcid.org/0009-0008-1793-8827
Chang, Yugang https://orcid.org/0009-0009-9247-8098
Qu, Chang https://orcid.org/0009-0004-4284-2334
Yang, Xue https://orcid.org/0009-0006-8132-2686
Wang, Lei https://orcid.org/0000-0003-0111-4328
Zeng, Weiming https://orcid.org/0000-0002-9035-8078
Funding for this research was provided by:
National Natural Science Foundation of China (31870979)
2023 Graduate Top Innovative Talents Training Program at Shanghai Maritime University (2023YBR013)
Article Title: ESENet: an efficient lightweight network with entropy-guided pooling for SAR ship detection
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2026 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2025-12-19
Date Accepted: 2026-02-09
Online publication date: 2026-02-23