An anchor-free method based on feature balancing and refinement network for multiscale ship detection in SAR images
Recently, deep-learning methods have been successfully applied to the ship detection in the
synthetic aperture radar (SAR) images. It is still a great challenge to detect multiscale SAR …
synthetic aperture radar (SAR) images. It is still a great challenge to detect multiscale SAR …
BANet: A balance attention network for anchor-free ship detection in SAR images
Q Hu, S Hu, S Liu - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Recently, methods based on deep learning have been successfully applied to ship detection
for synthetic aperture radar (SAR) images. However, most current ship detection networks …
for synthetic aperture radar (SAR) images. However, most current ship detection networks …
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 …
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 …
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 …
A robust one-stage detector for multiscale ship detection with complex background in massive SAR images
With the development of synthetic aperture radar (SAR) imaging and deep learning, SAR
ship detection based on convolutional neural networks (CNNs) has been extensively …
ship detection based on convolutional neural networks (CNNs) has been extensively …
Feature enhancement pyramid and shallow feature reconstruction network for SAR ship detection
L Bai, C Yao, Z Ye, D Xue, X Lin… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Recently, convolutional neural network based methods have been studied for ship detection
in optical remote sensing images. However, it is challenging to apply them to microwave …
in optical remote sensing images. However, it is challenging to apply them to microwave …
MSARN: A deep neural network based on an adaptive recalibration mechanism for multiscale and arbitrary-oriented SAR ship detection
C Chen, C He, C Hu, H Pei, L Jiao - IEEE Access, 2019 - ieeexplore.ieee.org
Ship detection plays an important role in synthetic aperture radar (SAR) image
interpretation. However, there are still some difficulties in SAR ship detection. First, ships …
interpretation. However, there are still some difficulties in SAR ship detection. First, ships …
A deep neural network based on an attention mechanism for SAR ship detection in multiscale and complex scenarios
C Chen, C He, C Hu, H Pei, L Jiao - Ieee Access, 2019 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) ship detection based on deep learning has been widely
applied in recent years. However, two main obstacles are hindering SAR ship detection …
applied in recent years. However, two main obstacles are hindering SAR ship detection …