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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 …
precise location and shape information from ship instance segmentation in SAR pictures …
Synthetic aperture radar (SAR) meets deep learning
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 …
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
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 …
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 …
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
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 …
safety and surveillance. Despite the advancements in deep learning for SAR ship detection …
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 …
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 …
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 …
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 …
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 …
Most existing approaches focused on extraction of ship locations using either hull or wake …