Author

Tao Liu

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Open access Sep 2026

A Spatial Prior-Guided Feature Enhancement and Multi-Branch Complementary Learning Framework for Small Ship Detection in SAR Images

Ship detection in Synthetic Aperture Radar (SAR) imagery is essential for maritime surveillance and situational awareness. Despite the advances of deep learning for SAR ship detection, small-target detection is still hindered by severe feature degradation from repeated down-sampling and insufficiently discriminative re...

Tao Liu, Yuan-Yuan Zhao, Zhen-Hua Li et al. · Remote Sensing · 0 citations

Open access 2026

Beyond Linear Convolutional Representations: Manifold-Aware Neighborhood Feature Learning for PolSAR Ship Detection

Classical polarimetric synthetic aperture radar (PolSAR) ship detectors can be unified into a quadratic form of polarimetric scattering vectors, offering clear physical interpretability. To further exploit spatial information, the neighborhood polarimetric covariance matrix (NPCM) was introduced to characterize inter-p...

Zi-Yuan Yang, Peng Zhang, Yao Yao et al. · IEEE Journal of Selected Top... · 0 citations

Open access Aug 2026

PCFD-Net: A Parallel Collaborative Fusion-Detection Network for SAR and Optical Imagery

Synthetic aperture radar (SAR)–optical image fusion and object detection are two closely related tasks in remote sensing. Fusion can provide richer texture and structural cues for downstream detection, while detection can, in turn, provide object-level location and semantic information to improve fusion. However, effec...

Yixuan An, Ning Wang, Hai-Xiao Wu et al. · Remote Sensing · 0 citations