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 …
A mask attention interaction and scale enhancement network for SAR ship instance segmentation
T Zhang, X Zhang - IEEE geoscience and remote sensing …, 2022 - ieeexplore.ieee.org
Most of the existing synthetic aperture radar (SAR) ship instance segmentation models do
not achieve mask interaction or offer limited interaction performance. Besides, their …
not achieve mask interaction or offer limited interaction performance. Besides, their …
HTC+ for SAR ship instance segmentation
T Zhang, X Zhang - Remote Sensing, 2022 - mdpi.com
Existing instance segmentation models mostly pay less attention to the targeted
characteristics of ships in synthetic aperture radar (SAR) images, which hinders further …
characteristics of ships in synthetic aperture radar (SAR) images, which hinders further …
Remote sensing image instance segmentation network with transformer and multi-scale feature representation
W Ye, W Zhang, W Lei, W Zhang, X Chen… - Expert Systems with …, 2023 - Elsevier
The goal of remote sensing image (RSI) instance segmentation is to perform instance-level
semantic parsing of its contents. Aside from classifying and locating regions of interest (RoI) …
semantic parsing of its contents. Aside from classifying and locating regions of interest (RoI) …
Instance segmentation ship detection based on improved Yolov7 using complex background SAR images
It is significant for port ship scheduling and traffic management to be able to obtain more
precise location and shape information from ship instance segmentation in SAR pictures …
precise location and shape information from ship instance segmentation in SAR pictures …
RBFA-net: a rotated balanced feature-aligned network for rotated SAR ship detection and classification
Ship detection with rotated bounding boxes in synthetic aperture radar (SAR) images is now
a hot spot. However, there are still some obstacles, such as multi-scale ships, misalignment …
a hot spot. However, there are still some obstacles, such as multi-scale ships, misalignment …
A multi-scale feature pyramid network for detection and instance segmentation of marine ships in SAR images
Z Sun, C Meng, J Cheng, Z Zhang, S Chang - Remote Sensing, 2022 - mdpi.com
In the remote sensing field, synthetic aperture radar (SAR) is a type of active microwave
imaging sensor working in all-weather and all-day conditions, providing high-resolution SAR …
imaging sensor working in all-weather and all-day conditions, providing high-resolution SAR …
A dual-polarization information-guided network for SAR ship classification
Synthetic aperture radar (SAR) is an advanced active microwave sensor widely used in
marine surveillance. As part of typical marine surveillance missions, ship classification in …
marine surveillance. As part of typical marine surveillance missions, ship classification in …
Semisupervised SAR ship detection network via scene characteristic learning
In recent years, target detection methods based on deep learning have achieved extensive
development in synthetic aperture radar (SAR) ship detection. However, training such …
development in synthetic aperture radar (SAR) ship detection. However, training such …
GCBANET: A global context boundary-aware network for SAR ship instance segmentation
X Ke, X Zhang, T Zhang - Remote Sensing, 2022 - mdpi.com
Synthetic aperture radar (SAR) is an advanced microwave sensor, which has been widely
used in ocean surveillance, and its operation is not affected by light and weather. SAR ship …
used in ocean surveillance, and its operation is not affected by light and weather. SAR ship …