Results 11 to 20 of about 1,765,935 (236)
Incoherent processing of synthetic aperture sonar [PDF]
The technique of synthetic aperture imaging is well applied in radar to produce images with high along-track resolution. However, when applied in sonar imaging, maintaining phase coherence across the length of the synthetic aperture had proven to be the ...
Foo, Kae Yeet
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Pre-trained Models for Sonar Images [PDF]
Global Oceans 2021, Camera ready, 8 pages, 9 ...
Valdenegro-Toro, Matias +2 more
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Small-Sample Sonar Image Classification Based on Deep Learning
Deep learning is a core technology for sonar image classification. However, owing to the cost of sampling, a lack of data for sonar image classification impedes the training and deployment of classifiers. Classic deep learning models such as AlexNet, VGG,
Zezhou Dai, Hong Liang, Tong Duan
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Radar and Sonar Imaging and Processing (2nd Edition)
The 14 papers (from 29 submitted) published in the Special Issue “Radar and Sonar Imaging Processing (2nd Edition)” highlight a variety of topics related to remote sensing with radar and sonar sensors.
Andrzej Stateczny +2 more
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A blind contour‐aware quality model for sonar images
Since the penetration depth of visible light is limited in muddy and dark deep marine environment, sonar imaging, which is independent of natural light, has been attracting much attention in underwater detections.
Weiling Chen +3 more
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Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery
With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications.
Hoang Thanh Le +5 more
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This paper demonstrates that sonar images correlate badly because target geometry and image fringes correlate in different coordinate systems. It is shown that if the receiver is a line array, all point objects have the same image in a coordinate system with axes of range and the sine of target bearing (the (r, s) coordinate system).
Richard J. Rikoski +2 more
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Active Object Detection in Sonar Images [PDF]
Object detection in sonar images has always been a challenge due to the low resolution of sonar images and the strong noise existing in them. Although convolutional neural networks (CNNs) have been applied to detect objects in sonar images, successful detection is impeded by the lack of large annotated sonar images.
Longyu Jiang +4 more
openaire +3 more sources
Application of 3D imaging sonar in defect detection of underwater bored piles
The pile foundation is an important part of bridge engineering. The underwater structure of pile foundation has some quality problems such as concrete spalling and damage.
JI Tong-yuan 1, 2, LI Peng-fei 2, ZHANG Run 2, ZHANG Ding-wen 1, 3
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Sparse Reconstruction-Based Inverse Scattering Imaging in a Shallow Water Environment
Bistatic sonar or multistatic sonar system can collect more scattering information of targets than a monostatic sonar system. In this paper, sparse learning via iterative minimization method (SLIM) is introduced to distinguish wave components for time ...
Jingning Jiang, Xiang Pan, T. C. Yang
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