A novel deep learning network with deformable convolution and attention mechanisms for complex scenes ship detection in sar images
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
role in marine monitoring in recent years. The lack of detailed information about ships in …
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