Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Multi-layer sparse coding model-based ship detection for optical remote-sensing images
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images
Sign Up to like & getrecommendations! 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
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Study on Small-Scale Ship Detection Based on Attention Mechanism
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DOI: 10.1109/access.2022.3193669
Abstract: In ship detection based on optical images, the system typically needs to handle small-scale targets in complex environments owing to special application scenarios, and small-scale targets are easily ignored after a multi-layer convolution is applied… read more here.
Keywords: small scale; detection based; detection; based attention ... See more keywords
Light-SDNet: A Lightweight CNN Architecture for Ship Detection
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DOI: 10.1109/access.2022.3199352
Abstract: Ship detection plays a vital role in monitoring and managing maritime safety. Most recently proposed learning-based object detection methods have achieved marked progress in detection accuracy, but the size of these models is too large… read more here.
Keywords: detection; light sdnet; ship detection; model ... See more keywords
Ship Detection in SAR Images Based on Adjacent Context Guide Fusion Module and Dense Weighted Skip Connection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230140
Abstract: Fusing features from different layers is essential to improve the ship target detection ability in the synthetic aperture radar (SAR) images. Mainstream methods usually perform simple addition or concatenation operations on adjacent feature layers without… read more here.
Keywords: context guide; fusion; adjacent context; detection ... See more keywords