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A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection
IEEE Access, 2018 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 the interference of inshore complex background.
Jiao Jiao +7 more
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Ellipse Polar Encoding for Oriented SAR Ship Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingShip detection in synthetic aperture radar (SAR) images using deep neural networks often relies on horizontal bounding box, which fail to capture ship orientation and aspect ratio accurately.
Jun Liu, Lin Liu, Jiarong Xiao
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Popeye: A Unified Visual-Language Model for Multisource Ship Detection From Remote Sensing Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingShip detection needs to identify ship locations from remote sensing scenes. Due to different imaging payloads, various appearances of ships, and complicated background interference from the bird's eye view, it is difficult to setup a unified ...
Wei Zhang +5 more
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GLSD: a global large-scale ship database with baseline evaluations
Geo-spatial Information ScienceIn this paper, we introduce a challenging Global Large-scale Ship Database (GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a total of 212,357 annotated instances from 152,576 images.
Zhenfeng Shao +7 more
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Enhancing Dense Ship Detection in SAR Images Through Cluster-Region-Based Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar (SAR), with its all-weather and all-day imaging capabilities, has become an essential tool in ship monitoring. In recent years, deep learning has significantly enhanced the performance of ship detection in SAR images. However, in
Yilei Shi +3 more
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International Journal of Applied Earth Observations and GeoinformationShip detection in remote sensing imagery is essential for diverse maritime-related tasks, including ocean surveillance, fisheries management, and environmental assessment.
Longli Ran +6 more
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Remote SensingShip target detection faces the challenges of complex and changing environments combined with the varied characteristics of ship targets. In practical applications, the complexity of meteorological conditions, uncertainty of lighting, and the diversity ...
Wenbo Zhou +4 more
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MathematicsBecause of the vast ocean area and the large amount of high-resolution image data, ship detection and data processing have become more difficult. These difficulties can be solved using the artificial intelligence interpretation method.
Xiaorui Sun +3 more
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A lightweight and efficient ship detection model for complex maritime environments
Applied Ocean ResearchDue to the complex and dense traffic in ports and their surrounding sea areas, along with the diverse and varying sizes of ships, ship detection faces significant challenges.
Yuankui Li +4 more
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YOLO-RC: SAR Ship Detection Guided by Characteristics of Range-Compressed Domain
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingConventional ship detection using synthetic aperture radar (SAR) is typically limited to fully-focused SAR images, limiting the development of real-time SAR ship detection.
Xiangdong Tan +5 more
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