A novel deep learning network with deformable convolution and attention mechanisms for complex scenes ship detection in sar images

P Chen, H Zhou, Y Li, P Liu, B Liu - Remote Sensing, 2023 - mdpi.com
Synthetic aperture radar (SAR) can detect objects in various climate and weather conditions.
Therefore, SAR images are widely used for maritime object detection in applications such as …

PPA-Net: pyramid pooling attention network for multi-scale ship detection in SAR images

G Tang, H Zhao, C Claramunt, W Zhu, S Wang… - Remote Sensing, 2023 - mdpi.com
In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …

SAR ship detection based on end-to-end morphological feature pyramid network

C Zhao, X Fu, J Dong, R Qin, J Chang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Intelligent ship detection based on high-precision synthetic aperture radar (SAR) images
plays a vital role in ocean monitoring and maritime management. Denoising is an effective …

Anchor-free convolutional network with dense attention feature aggregation for ship detection in SAR images

F Gao, Y He, J Wang, A Hussain, H Zhou - Remote Sensing, 2020 - mdpi.com
In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it
is urgent to develop methods with higher accuracy and faster speed for ship detection in …

End‐to‐End Ship Detection in SAR Images for Complex Scenes Based on Deep CNNs

Y Chen, T Duan, C Wang, Y Zhang… - Journal of …, 2021 - Wiley Online Library
Ship detection on synthetic aperture radar (SAR) imagery has many valuable applications
for both civil and military fields and has received extraordinary attention in recent years. The …

Hierarchical attention for ship detection in SAR images

C Zhu, D Zhao, Z Liu, Y Mao - IGARSS 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Considering the difficulty of ship detection in Synthetic Aperture Radar (SAR) images lacking
color and texture details, we propose a method for SAR ship detection based on hierarchical …

Regional prediction-aware network with cross-scale self-attention for ship detection in SAR images

L Zhang, Y Liu, Y Huang, L Qu - IEEE Geoscience and Remote …, 2022 - ieeexplore.ieee.org
Deep learning algorithms have been widely used in ship detection with synthetic aperture
radar (SAR). However, the complex background, clutter noise, and large span of ship sizes …

Dense attention pyramid networks for multi-scale ship detection in SAR images

Z Cui, Q Li, Z Cao, N Liu - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) is an active microwave imaging sensor with the capability of
working in all-weather, all-day to provide high-resolution SAR images. Recently, SAR …

A lightweight feature optimizing network for ship detection in SAR image

X Zhang, H Wang, C Xu, Y Lv, C Fu, H Xiao… - IEEE Access, 2019 - ieeexplore.ieee.org
Deep learning-based methods have achieved great success in target detection tasks of
computer vision, but when it comes to Synthetic Aperture Radar (SAR) image ship detection …

Contextual region-based convolutional neural network with multilayer fusion for SAR ship detection

M Kang, K Ji, X Leng, Z Lin - Remote Sensing, 2017 - mdpi.com
Synthetic aperture radar (SAR) ship detection has been playing an increasingly essential
role in marine monitoring in recent years. The lack of detailed information about ships in …