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   Articles with "ship detection" as a keyword



FESAR: SAR ship detection model based on local spatial relationship capture and fused convolutional enhancement

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recommendations! Published in 2024 at "Machine Vision and Applications"

DOI: 10.1007/s00138-024-01516-4

Abstract: Synthetic aperture radar (SAR) is instrumental in ship monitoring owing to its all-weather capabilities and high resolution. In SAR images, ship targets frequently display blurred or mixed boundaries with the background, and instances of occlusion… read more here.

Keywords: ship detection; ship; model; sar ship ... See more keywords

Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.12.050

Abstract: Abstract Ship detection plays a crucial role in remote sensing image processing, which has drawn great attention in recent years. A novel neural network architecture named squeeze excitation skip-connection path networks (SESPNets) is proposed. A… read more here.

Keywords: connection; skip connection; ship detection; squeeze excitation ... See more keywords

Deep learning for autonomous ship-oriented small ship detection

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recommendations! Published in 2020 at "Safety Science"

DOI: 10.1016/j.ssci.2020.104812

Abstract: Abstract Small ship detection is an important topic in autonomous ship technology and plays an essential role in shipping safety. Since traditional object detection techniques based on the shipborne radar are not qualified for the… read more here.

Keywords: detection; autonomous ship; small ship; deep learning ... See more keywords

Ship detection from coastal surveillance videos via an ensemble Canny-Gaussian-morphology framework

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recommendations! Published in 2021 at "Journal of Navigation"

DOI: 10.1017/s0373463321000540

Abstract: Abstract Coastal surveillance video helps officials to obtain on-site visual information on maritime traffic situations, which benefits building up the maritime transportation detection infrastructure. The previous ship detection methods focused on detecting distant small ships… read more here.

Keywords: ship; coastal surveillance; ship detection; detection coastal ... See more keywords

Ship detection using ensemble deep learning techniques from synthetic aperture radar imagery

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-80239-y

Abstract: Synthetic Aperture Radar (SAR) integrated with deep learning has been widely used in several military and civilian applications, such as border patrolling, to monitor and regulate the movement of people and goods across land, air,… read more here.

Keywords: detection; synthetic aperture; ship detection; ship ... See more keywords

Multi-layer sparse coding model-based ship detection for optical remote-sensing images

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recommendations! Published in 2017 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2017.1353159

Abstract: ABSTRACT Ship detection plays an important role in remote-sensing image processing. In this article, we propose a multi-layer sparse coding model-based ship detection (MSCMSD) method, integrating bottom-up and top-down mechanisms, for ship detection with high-resolution… read more here.

Keywords: multi layer; remote sensing; model; layer sparse ... See more keywords

PolSAR ship detection based on the contrast enhancement of polarimetric scattering differences

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recommendations! Published in 2019 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2019.1601278

Abstract: ABSTRACT The ship detection in polarimetric synthetic aperture radar (PolSAR) mode is a hot topic in recent years, because of the diversity of polarimetric scattering mechanisms between ship targets and sea clutter. To improve the… read more here.

Keywords: detection; polarimetric scattering; based contrast; ship ... See more keywords
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Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images

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recommendations! Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1811422

Abstract: ABSTRACT Automatic ship detection in optical remote-sensing (ORS) images has wide applications in civil and military fields. Research on ship detection in ORS images started late compared to synthetic aperture radar (SAR) images, and it… read more here.

Keywords: detection; optical remote; network; remote sensing ... See more keywords

YOLOSeaShip: a lightweight model for real-time ship detection

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recommendations! Published in 2024 at "European Journal of Remote Sensing"

DOI: 10.1080/22797254.2024.2307613

Abstract: ABSTRACT With the rapid advancements in computer vision, ship detection models based on deep learning have been more and more prevalent. However, most network methods use expensive costs with high hardware equipment needed to increase… read more here.

Keywords: detection; real time; ship detection; yoloseaship ... See more keywords

HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3005861

Abstract: With the development of satellite technology, up to date imaging mode of synthetic aperture radar (SAR) satellite can provide higher resolution SAR imageries, which benefits ship detection and instance segmentation. Meanwhile, object detectors based on… read more here.

Keywords: sar; sar images; detection instance; ship detection ... See more keywords

Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3020363

Abstract: Synthetic aperture radar (SAR) ship detection is a popular branch of SAR interpretation. A growing number of scholars are devoting themselves to applying convolutional neural network (CNN) to SAR ship detection. Currently, most CNN-based SAR… read more here.

Keywords: multi size; ship detection; sar ship; detection ... See more keywords