SAR ship detection dataset (SSDD): Official release and comprehensive data analysis
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 …
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 …
the deep learning era too. The deep learning-based computer vision algorithms can work in …
NAS-YOLOX: a SAR ship detection using neural architecture search and multi-scale attention
H Wang, D Han, M Cui, C Chen - Connection Science, 2023 - Taylor & Francis
Due to the advantages of all-weather capability and high resolution, synthetic aperture radar
(SAR) image ship detection has been widely applied in the military, civilian, and other …
(SAR) image ship detection has been widely applied in the military, civilian, and other …
High-speed lightweight ship detection algorithm based on YOLO-v4 for three-channels RGB SAR image
J Jiang, X Fu, R Qin, X Wang, Z Ma - Remote Sensing, 2021 - mdpi.com
Synthetic Aperture Radar (SAR) has become one of the important technical means of marine
monitoring in the field of remote sensing due to its all-day, all-weather advantage. National …
monitoring in the field of remote sensing due to its all-day, all-weather advantage. National …
Efficient low-cost ship detection for SAR imagery based on simplified U-net
Y Mao, Y Yang, Z Ma, M Li, H Su, J Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the rapid development of chip technology and deep learning revolution, many ship
detection frameworks for synthetic aperture radar (SAR) imagery based on convolutional …
detection frameworks for synthetic aperture radar (SAR) imagery based on convolutional …
SARNas: A hardware-aware SAR target detection algorithm via multiobjective neural architecture search
W Du, J Chen, C Zhang, P Zhao, H Wan… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Most of the existing deep learning-based synthetic aperture radar (SAR) target detection
algorithms rely on manual experience to repeatedly adjust structures and parameters to …
algorithms rely on manual experience to repeatedly adjust structures and parameters to …
MEA-Net: A lightweight SAR ship detection model for imbalanced datasets
Y Guo, L Zhou - Remote Sensing, 2022 - mdpi.com
The existing synthetic aperture radar (SAR) ship datasets have an imbalanced number of
inshore and offshore ship targets, and the number of small, medium and large ship targets …
inshore and offshore ship targets, and the number of small, medium and large ship targets …
A super lightweight and efficient SAR image ship detector
Y Yang, Y Ju, Z Zhou - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
The realm of synthetic aperture radar (SAR) ship detection has witnessed widespread
adoption of deep learning, due to its exceptional detection accuracy and end-to-end …
adoption of deep learning, due to its exceptional detection accuracy and end-to-end …
SAR image near-shore ship target detection method in complex background
Y Li, W Zhu, C Li, C Zeng - International Journal of Remote Sensing, 2023 - Taylor & Francis
Due to background clutter in synthetic aperture radar (SAR) images, the detection of dense
ship targets suffers from a low detection rate, high false alarm rate, and high missed …
ship targets suffers from a low detection rate, high false alarm rate, and high missed …
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 …