Sea Mine Detection Framework Using YOLO, SSD and EfficientDet Deep Learning Models. [PDF]
Sensors (Basel), 2022 Munteanu D +5 more
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Registration of images from a hull mounted, low frequency synthetic aperture sonar
, 2013 Coherent change detection between multiple synthetic aperture sonar (SAS) images is reliant on the images being co-registered with sub-pixel accuracy. In this paper we suggest a technique using available navigation data to reconstruct the images onto a ...
Hunter, A.J., Hayes, M., Bonnett, B.
core
A Statistical Evaluation of the Connection between Underwater Optical and Acoustic Images
Remote SensingThe use of Synthetic Aperture Sonar (SAS) in autonomous underwater vehicle (AUV) surveys has found applications in archaeological searches, underwater mine detection and wildlife monitoring.
Rebeca Chinicz, Roee Diamant
doaj +1 more source
Azimuth ambiguities in broadside and squint mode synthetic aperture sonar
, 1999 Synthetic aperture sonar (SAS) mapping rates are limited by acoustic propagation speed in relation to feasible platform velocity and the desired swath coverage.
McHugh, R., Shaw, S., Taylor, N.
core +1 more source
Creating an Autonomous Hovercraft for Bathymetric Surveying in Extremely Shallow Water (<1 m). [PDF]
Sensors (Basel), 2023 Troup ML, Hatcher M, Barclay D.
europepmc +1 more source
A High-Accuracy Underwater Object Detection Algorithm for Synthetic Aperture Sonar Images
Remote SensingUnderwater object detection with Synthetic Aperture Sonar (SAS) images faces many problems, including low contrast, blurred edges, high-frequency noise, and missed small objects.
Jiahui Su +5 more
doaj +1 more source
Theoretical and Experimental Studies on Sensitivity and Bandwidth of Thickness-Mode Driving Hydrophone Utilizing A 2-2 Piezoelectric Single Crystal Composite. [PDF]
Sensors (Basel), 2023 Je Y, Sim M, Cho Y, Lee SG, Seo HS.
europepmc +1 more source
Automatic Classification of Unexploded Ordnance (UXO) Based on Deep Learning Neural Networks (DLNNS)
Polish Maritime ResearchThis article discusses the use of a deep learning neural network (DLNN) as a tool to improve maritime safety by classifying the potential threat to shipping posed by unexploded ordnance (UXO) objects.
Sigiel Norbert +3 more
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IEEE AccessThe Omega-k algorithm is an accurate synthetic aperture sonar (SAS) imaging algorithm, and motion compensation (MOCO) is one of the key factors in achieving high-resolution imaging.
Yonghong Yao, Wei Song
doaj +1 more source
Underwater Target Perception in Local HOS Space. [PDF]
Comput Intell Neurosci, 2021 Gao J, Zhu P.
europepmc +1 more source