1.Robust Subspace Learning (3 papers)
M. Li, W. Huo, Z. Li, J. Wu, J. Yang, "SAR Image Reconstruction and Target Extraction with Under-Sampled Data Via Low-Rank and Sparsity Matrix Decomposition", IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, pages 4564-4567, 2021.
G. Shu, J. Chang, J. Lu, Q. Wang, N. Li, "A Novel Method for SAR Ship Detection based on Eigensubspace Projection", MDPI Remote Sensing, 2022.
Z. Lv, J. Lu, Q. Wang, Z. Guo, N. Li, "ESP-LRSMD: A Two-Step Detector for Ship Detection using SLC SAR Imagery", IEEE Transactions on Geoscience and Remote Sensing, Volume 60, pages 1-16, 2022.
2.Deep Learning (54 papers)
Y. Du, L. Du, Y. Guo, Y. Shi, Z. Wang, "Scene Characteristic Mining-based Semisupervised Network for Ship Detection in SAR Images", IEEE International Radar Conference, RADAR 2023, pages 1-6, Sydney, Australia, 2023.
H. Liu, "SAR image ship detection based on light-weight multi-scale feature enhancement network", IEEE Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023, Hefei, China, 2023.
S. Zhou, M. Zhang, L. Wu, D. Yu, J. Li, F. Fan, L. Zhang, Y.Liu, “Lightweight SAR Ship Detection Network based on Transformer and Feature Enhancement”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, February 2024.
C. Chen, Y. Zhang, R. Hu, Y. Yu, "A Lightweight SAR Ship Detector using End-to-End Image Preprocessing Network and Channel Feature Guided Spatial Pyramid Pooling”, IEEE Geoscience and Remote Sensing Letters, Volume 21, pages1-5, 2024.
H. Yu, S. Yang, S. Zhou, Y. Sun, "VS-LSDet: A Multiscale Ship Detector for Spaceborne SAR Images based on Visual Saliency and Lightweight CNN”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 17, pages 1137-1154, 2024.
P. Wang, Y. Chen, Y. Yang, P. Chen, G. Zhang, D. Zhu, Y. Jie, C. Jian, H. Leung, "A General Multiscale Pyramid Attention Module for Ship Detection in SAR Images," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pages 2815-2827, 2024.
D. Liu, S. Chang, Y. Deng, Z. He, F. Wang, Z. Zhang, C. Han, C. Yu, "A Novel Spaceborne SAR Constellation Scheduling Algorithm for Sea Surface Moving Target Search Tasks", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 17, pages 3715-3726, 2024.
J. Wang, C. Wang, Z. Li, W. He, Y. Zhong, Y. Huang, "Overcoming Data Scarcity in Maritime Radar Target Detection via a Complex-Valued Hybrid Spatio-Temporal Network", IEEE Geoscience and Remote Sensing Letters, 2025.
Y. Fan, X. Wang, S. Chen, Z. Guo, J. Su, M. Tao, "Sea Surface Weak Target Detection Based on Weighted Difference Visibility Graph", IEEE Geoscience and Remote Sensing Letters, 2025.
C. Liu, Y. Deng, Z. Zhang, H. Fan, H. Zhang, X. Qi, “TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection using 2-D Asymmetric Resolution Mode”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume18, pages 7221-7235, 2025.
Y. Zhang, W. Cai, J. Guo, H. Kong, Y. Huang, X. Ding, "Lightweight SAR Ship Detection via Pearson Correlation and Nonlocal Distillation," IEEE Geoscience and Remote Sensing Letters, pages 1-5, 2025.
Y. Hao, J. Wu, Y. Yao, Y. Guo, "A Robust Anchor-Free Detection Method for SAR Ship Targets With Lightweight CNN", IEEE Transactions on Instrumentation and Measurement, Volume 74, pages 1-19, 2025.
H. Yu, B. Liu, L. Wang, T. Li, “LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion”, MDPI Remote Sensing, 2025.
M. Yoo, J. Han, S. Kim, "Deep Spiking Neural Network for Energy-Efficient SAR Ship Detection", IEEE Geoscience and Remote Sensing Letters, pages 1-5, 2025.
M. Rahimi, S. Sharifian, “SAMSAR: A modified SAM Architecture for Oceanic Ship Segmentation of Satellite SAR images using CNN-based Cross-Fused Attention”, Expert Systems with Applications, May 2025.
W. Ma, X. Yang, H. Zhu, X. Wang, B. Hou, M. Ma, Y. Wu, “Dense-Weak Ship Detection based on Foreground-Guided Background Generation Network in SAR images”, IEEE Transactions on Geoscience and Remote Sensing, May 2025.
Y. Zheng, F. Lang, J. Zhao, Z. Chen, Z. Wang, "LDFENet: A Lightweight Dilated Feature Enhanced Network for SAR Ship Detection", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 19, pages 5419-5433, 2026.
Y. Zhang, J. Chi, G. Yang, C. Chen, T. Yu, “SAR-NanoShipNet: A scale-adaptive network for robust small ship detection in SAR imagery”, ISPRS Journal of Photogrammetry and Remote Sensing, volume 232, pages 262-279, February 2026.
M. Zhang, G. Gao, G. Yang, L. Yao, X. Zhang, H. Li, Q. Zhu, S. Luo, “LDHA-Det: A lightweight network with directional modeling and hybrid attention for robust SAR ship detection”, Ocean Engineering, Volume 349, March 2026.
S. Xu, J. Lan, Y. Zeng, W. Luo, "DCTNet: Integrating Deformable Convolution and Transformer-Based Feature Fusion for High-Performance SAR Ship Detection", IEEE Geoscience and Remote Sensing Letter, 2026.
X. Qin, H. Xu, Z. Wang, Y. Liu, S. Yang, "Attention-Guided Multi-Scale Feature Aggregation for Robust SAR Ship Detection in Complex Port Environments", Preprint, 2026.
C. Zhang, J. Xing, Y. Wang, Y. Liu and Y. Xing, "AMFS-Net: An Adaptive Multiscale Feature Fusion Framework for Efficient SAR Ship Detection", IEEE Geoscience and Remote Sensing Letters, volume 23, page 1-5, 2026,
M. Tong, S. Fan, J. Jiang, H. Sun, J. Yang, C. He, "Dual-Perception Detector for Ship Detection in SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, volume 19, 2026.
W. Zhang, X. Zhang, X. Xu, S. Wei, J. Shi, Y. Wang, T. Zheng, "MHFNet: Multimodal hybrid fusion framework for misaligned SAR-Optical ship detection”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 231, January 2026.
L. Ran, J. Li, H. Wu, A. Wu, Y. He, Q. Guan, “Bridging optical and SAR images via semantic prompt-guided progressive alignment for rotated cross-domain ship detection”, International Journal of Applied Earth Observation and Geoinformation, Volume 146, February 2026.
H. Song, L. Wang, L. Mi, H. Yu, J. Gan, "DCAPT-Net: A Multi-Scale Ship Detection Algorithm for SAR Images", IEEE International Conference on Big Data and Information Analytics, BigDIA 2024, pages 441-446, Chiang Mai, Thailand, 2024.
Q. Li, R. Min, Z. Cui, Y. Pi, Z. Xu, "Multiscale Ship Detection Based on Dense Attention Pyramid Network in SAR Images", IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 2019.
N. Liu, Z. Cui, Z. Cao, Y. Pi, H. Lan, "Scale-Transferrable Pyramid Network for Multi-Scale Ship Detection in SAR Images", IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 2019.
Z. Gou, J. Wang, Z. Wang, L. Ma, Q. Liu, "SAR Ship Target Detection Algorithm based on MSEIG-DETR", IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2025, pages 421-426, Weihai, China, 2025.
W. Ning, T. Liu, Z. Gong, "An Improved VFNet Network for Ship Detection in SAR Imagery", IEEE International Symposium on Computer Applications and Information Technology, ISCAIT 2025, pages 713-717 Xi'an, China, 2025.
M. Fang, Y. Gu, D. Peng, "FEVT-SAR: Multicategory Oriented SAR Ship Detection based on Feature Enhancement Vision Transformer", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume18, pages 2704-2717, 2025.
M. Chen, T. Liu, "SAR Ship Target Multi-Scale Detection based on DiffusionDet", IEEE International Conference on Signal Processing Systems ICSPS 2025, pages 1159-1163, Chengdu, China, 2025.
G. Fang, F. Han, C. He, J. Li, "LightSAR-Net: A Lightweight Multiscale Dynamic SAR Ship Detection Network", IEEE Geoscience and Remote Sensing Letters, 2025.
Z. Tai, C. Yang, Z. Wang, K. Wang, "Feature-Oriented Cascaded Resolution Neural Network for SAR Ship Detection", IEEE International Geoscience and Remote Sensing Symposium, pages 7753-7756, Brisbane, Australia, 2025.
P. Lang, X. Fu, H. Yang, J. Yin, J. Yang, "AAFCFPNet: An Adaptive Attention Multi-Scale Features Cross Fusion Pyramid Network to Improve SAR Ship Detection, IEEE International Geoscience and Remote Sensing Symposium, pages 6150-6154 , Brisbane, Australia, 2025.
M. Yoo, J. Han, S. Kim, "Deep Spiking Neural Network for Energy-Efficient SAR Ship Detection", IEEE Geoscience and Remote Sensing Letters, pages 1-5, 2025.
K. Li, H. Yu, S. Li, S. Chen, B. Wang, "PFARN: Pyramid Fusion Attention and Refinement Network for Multiscale Ship Detection in SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 18, pages 9821-9836, 2025,
J. Hu, Z. Liu, L. Ran, "An Anchor-Free Ship Detection Network for SAR Based on Prediction Probability Matrix", IEEE Radar Conference, Radar Conf 2025, pages 228-232, Krakow, Poland, 2025.
S. Man, W. Yu, "ELSD-Net: A Novel Efficient and Lightweight Ship Detection Network for SAR Images", IEEE Geoscience and Remote Sensing Letters, 2025.
K. Kamirul, O. Pappas and A. Achim, "Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Learnable Proposals", IEEE International Conference on Image Processing, ICIP 2025, pages 504-509, Anchorage, USA, 2025.
Q. Ma, P. Duan, X. Lu, X. Kang, S. Li, "Point2Ship: Leveraging Prior SAR Ship Knowledge for End-to-End Ship Detection with Point Supervision", IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2025, pages 1914-1917, Brisbane, Australia, 2025.
X. Fan, B. Xing, X. Wang, H. Liu, C. Yan, P. Zhi, "SAR-D-FINE: A Context-Aware Detector for Small and Densely Packed Ship Detection in SAR Imagery", IEEE Geoscience and Remote Sensing Letters, Volume 23, pages 1-5, 2026.
J. Ai, L. Luo, S. Wang, L. Hao, "SAR-UMSDN: The Unsupervised Multimodal Ship Detection Network based on SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 19, pages 5062-5077, 2026.
H. Cui, T. Li, N. Su, Y. Yan, S. Feng, C. Zhao, "MSF-SAR: A Multiscale Fusion Method for Small Ship Detection in SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 19, pages 2200-2212, 2026.
J. Wang, Z. Wang, G. Sun, B. Zhao, "MBE-Net: A Multibranch Edge-Guided Feature Enhancement Algorithm for SAR Ship Detection", IEEE Geoscience and Remote Sensing Letters, Volume 23, pages 1-5, 2026.
R. Jiang, H. Shi, J. Ni, J. Li, Y. Feng, X. Chen, "LSDFormer: Lightweight SAR Ship Detection Enhanced With Efficient Multiattention and Structural Reparameterization", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 19, pages 1359-1377, 2026.
X. Hu, H. Chen, Y. Chang, X. Yang, W. Zeng, “SDWPNet: A Downsampling-Driven Network for SAR Ship Detection with Refined Features and Optimized Loss”, IEEE Geoscience and Remote Sensing Letters, 2026.
L. Qi, C. Huang, Q. Guo, "Cross-Scale Context-Aware Ship Detection in SAR Images Using CSCF-Net", IEEE Geoscience and Remote Sensing Letters, Volume 23, pages 1-5, 2026.
Y. Qiao, X. Yin, X. Zhou, S. Lan, W. Wang, H. Chen, "CSFF-MGDH: Cross-Stage Feature Fusion and Decoupled Head With Mutual Guidance for SAR Ship Detection", IEEE Transactions on Radar Systems, 2026.
T. Zhang, G. Gao, X. Ke, X. Zhang, "Swarm Learning: Perception-Retrieval-Localization for Ship Detection from Synthetic Aperture Radar Remote Sensing Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026.
Z. Liu, Y. Wang, M. Li, Y. Zou, "Mask-Supervised Dual-Branch Detection Network for Oriented SAR Ship Detection", IEEE Geoscience and Remote Sensing Letters, 2026.
Y. Lin, M. Zhang, S. Huan, W. Shang, "MoEWTNet: Mixture-of-Experts Wavelet Transform Network for Robust SAR Detection of Small Vessels", IEEE Journal on Miniaturization for Air and Space System, 2026.
S. Liu, Y. Yu, R. Feng, B. Li, Y. Zhang, Q. Hu, "FEDA-Net: A Feature Enhancement and Dynamic Alignment Network for SAR Ship Detection", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026.