SAR ship detection dataset (SSDD): Official release and comprehensive data analysis

T Zhang, X Zhang, J Li, X Xu, B Wang, X Zhan, Y Xu… - Remote Sensing, 2021 - mdpi.com
SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research
state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery …

Deep learning for SAR ship detection: Past, present and future

J Li, C Xu, H Su, L Gao, T Wang - Remote Sensing, 2022 - mdpi.com
After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

HOG-ShipCLSNet: A novel deep learning network with hog feature fusion for SAR ship classification

T Zhang, X Zhang, X Ke, C Liu, X Xu… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Ship classification in synthetic aperture radar (SAR) images is a fundamental and significant
step in ocean surveillance. Recently, with the rise of deep learning (DL), modern abstract …

Balance learning for ship detection from synthetic aperture radar remote sensing imagery

T Zhang, X Zhang, C Liu, J Shi, S Wei, I Ahmad… - ISPRS Journal of …, 2021 - Elsevier
Synthetic aperture radar (SAR) is playing an important role in maritime domain awareness.
As a fundamental ocean mission, SAR ship detection can offer high-quality services for …