Instance segmentation ship detection based on improved Yolov7 using complex background SAR images

M Yasir, L Zhan, S Liu, J Wan, MS Hossain… - Frontiers in Marine …, 2023 - frontiersin.org
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 …

Synthetic aperture radar (SAR) meets deep learning

T Zhang, T Zeng, X Zhang - Remote Sensing, 2023 - mdpi.com
Synthetic aperture radar (SAR) is an important active microwave imaging sensor. Its all-day
and all-weather working capacity makes it play an important role in the remote sensing …

Ship detection with SAR C-Band satellite images: a systematic review

C Alexandre, R Devillers, D Mouillot… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Detecting and tracking ships remotely is now required in a wide range of contexts, from
military security to illegal immigration control, as well as the management of fisheries and …

SHIP-YOLO: A Lightweight synthetic aperture radar ship detection model based on YOLOv8n algorithm

Y Luo, M Li, G Wen, Y Tan, C Shi - IEEE Access, 2024 - ieeexplore.ieee.org
In response to the challenges posed by small objects, high noise, and complex backgrounds
in synthetic aperture radar (SAR) ship detection, we proposed a lightweight model called …

CFAR-DP-FW: A CFAR-guided dual-polarization fusion framework for large-scene SAR ship detection

T Zeng, T Zhang, Z Shao, X Xu, W Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Effective ship detection in synthetic aperture radar (SAR) imagery is crucial for maritime
safety and surveillance. Despite the advancements in deep learning for SAR ship detection …

A dual-polarization information-guided network for SAR ship classification

Z Shao, T Zhang, X Ke - Remote Sensing, 2023 - mdpi.com
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 …

EST-YOLOv5s: SAR image aircraft target detection model based on improved YOLOv5s

M Huang, W Yan, W Dai, J Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Due to the diversity of aircraft target scale and interference of background strong scattering
in synthetic aperture radar (SAR) images, it is a challenge for target detection tasks. In …

Infrared maritime small-target detection based on fusion gray gradient clutter suppression

W Wang, Z Li, A Siddique - Remote Sensing, 2024 - mdpi.com
The long-distance ship target turns into a small spot in an infrared image, which has the
characteristics of small size, weak intensity, limited texture information, and is easily affected …

[HTML][HTML] LPST-Det: Local-perception-enhanced swin transformer for SAR ship detection

Z Yang, X **a, Y Liu, G Wen, WE Zhang, L Guo - Remote Sensing, 2024 - mdpi.com
Convolutional neural networks (CNNs) and transformers have boosted the rapid growth of
object detection in synthetic aperture radar (SAR) images. However, it is still a challenging …

Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery

Y Liu, R Zhang, R Deng, J Zhao - GIScience & Remote Sensing, 2023 - Taylor & Francis
Satellite remote-sensing provides a cost-and time-effective tool for ship monitoring at sea.
Most existing approaches focused on extraction of ship locations using either hull or wake …