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 …
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 …
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 …
A densely connected end-to-end neural network for multiscale and multiscene SAR ship detection
Synthetic aperture radar (SAR) images have been widely used for ship monitoring. The
traditional methods of SAR ship detection are difficult to detect small scale ships and avoid …
traditional methods of SAR ship detection are difficult to detect small scale ships and avoid …
A fast and lightweight detection network for multi-scale SAR ship detection under complex backgrounds
J Yu, G Zhou, S Zhou, M Qin - Remote Sensing, 2021 - mdpi.com
It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under
complex backgrounds. Traditional constant false alarm rate methods are cumbersome in …
complex backgrounds. Traditional constant false alarm rate methods are cumbersome in …
Enhanced feature extraction for ship detection from multi-resolution and multi-scene synthetic aperture radar (SAR) images
Independent of daylight and weather conditions, synthetic aperture radar (SAR) images
have been widely used for ship monitoring. The traditional methods for SAR ship detection …
have been widely used for ship monitoring. The traditional methods for SAR ship detection …
A multi-scale feature pyramid SAR ship detection network with robust background interference
Synthetic aperture radar (SAR) ship detection is widely used in cutting-edge applications
such as environmental protection, traffic monitoring, search, and rescue. Lightweight …
such as environmental protection, traffic monitoring, search, and rescue. Lightweight …
A novel detector based on convolution neural networks for multiscale SAR ship detection in complex background
W Dai, Y Mao, R Yuan, Y Liu, X Pu, C Li - Sensors, 2020 - mdpi.com
Convolution neural network (CNN)-based detectors have shown great performance on ship
detections of synthetic aperture radar (SAR) images. However, the performance of current …
detections of synthetic aperture radar (SAR) images. However, the performance of current …
FINet: A feature interaction network for SAR ship object-level and pixel-level detection
Deep learning-based detection methods have achieved great success in ship target
detection in synthetic aperture radar (SAR) images. However, due to the interference of …
detection in synthetic aperture radar (SAR) images. However, due to the interference of …
Automatic SAR ship detection based on multifeature fusion network in spatial and frequency domains
Synthetic aperture radar (SAR) ship detection is sensitive to the interference of inshore
background, disturbance of strong wind and waves. The similar textures of the neighbor …
background, disturbance of strong wind and waves. The similar textures of the neighbor …