Results 11 to 20 of about 264,974 (193)
Polarimetric SAR ship detection based on superpixel and sparse reconstruction saliency
Polarimetric SAR ship detection is an important application of the polarimetric SAR system. Existing polarimetric SAR ship detection methods are plagued by erroneous detection of strong clutter and missed detection of small targets in multiscale ...
Jiahao LUO, Junjun YIN, Jian YANG
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Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection
Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant marine mission. It plays an important role in marine traffic control, marine fishery management, and marine rescue.
Tianwen Zhang, Xiaoling Zhang, Xiao Ke
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Improved Ship Detection Algorithm Based on YOLOX for SAR Outline Enhancement Image
Synthetic aperture radar (SAR) ship detection based on deep learning has the advantages of high accuracy and end-to-end processing, which has received more and more attention.
Sen Li, Xiongjun Fu, Jian Dong
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Recently, ship target detection in Synthetic aperture radar (SAR) images has become one of the current research hotspots and plays an important role in the real-time detection of sea regions.
Peipei Zhang, Guokun Xie, Jinsong Zhang
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Multi-Sensor-Based Hierarchical Detection and Tracking Method for Inland Waterway Ship Chimneys
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately ...
Fumin Wu +4 more
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Data-driven fraud detection in international shipping [PDF]
Document fraud constitutes a growing problem in international shipping. Shipping documentation may be deliberately manipulated to avoid shipping restrictions or customs duties. Well-known examples of such fraud are miscoding and smuggling. These are cases in which the documentation of a shipment does not correctly or entirely describe the goods in ...
Triepels, Ron +2 more
openaire +6 more sources
Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection
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 synthetic aperture radar (SAR) images.
Lin Bai +5 more
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Ship and Oil-Spill Detection Using the Degree of Polarization in Linear and Hybrid/Compact Dual-Pol SAR [PDF]
Monitoring and detection of ships and oil spills using synthetic aperture radar (SAR) have received a considerable attention over the past few years, notably due to the wide area coverage and day and night all-weather capabilities of SAR systems.
Chabert, Marie +2 more
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Ship detection plays an important role in automatic remote sensing image interpretation. The scale difference, large aspect ratio of ship, complex remote sensing image background and ship dense parking scene make the detection task difficult.
Kun Fu +6 more
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YOLF-ShipPnet: Improved RetinaNet with Pyramid Vision Transformer
In the field of ship detection, the intricate nature of ship images arises from a multitude of factors, including variations in ship orientation, color contrasts, and diverse shapes.
Zhiruo Qiu, Shiyang Rong, Likun Ye
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