Self-Training Can Reduce Detection False Alarm Rate of High-Resolution Imaging Sonar
Imaging sonar is a primary means of underwater detection, but it faces challenges of high false alarm rates in sonar image target detection due to factors such as reverberation, noise, and resolution.
Jingqi Han +5 more
doaj +1 more source
Differences between conventional sonar and Multiple-Input Multiple-Output (MIMO) sonar systems arise in achieving high angular and range resolution.
Ning Gao, Feng Xu, Juan Yang
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Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery
Long-tail distribution and open-set recognition remain significant challenges in sonar image classification. This study introduces Dynamic Margin Contrastive Learning (DMCL), a novel framework that simultaneously addresses both issues through adaptive ...
Yu Lin, Shuiyuan He, Weidong Luo
doaj +1 more source
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation. [PDF]
Wu M +6 more
europepmc +1 more source
Adaptive Beamforming for Active Sonar Imaging.
As of today, sonar imaging is the most effective means of documenting the subsea environment. Existing sonar imaging systems generally rely on conventional beamforming methods to form the image. While conventional beamformers are robust and simple, they leave many of the challenges of sonar imaging unresolved.
openaire +2 more sources
Detection of submarine pipeline and cable targets based on depth feature of high resolution sonar image. [PDF]
Liu D, Jin Z, Chen J, Xu Z.
europepmc +1 more source
Sonar image denoising based on clustering and Bayesian sparse coding. [PDF]
Xing C, Bao D, Huang T, Meng Y.
europepmc +1 more source
DS-SIAUG: A Self-Training Approach Using a Disrupted Student Model for Enhanced Side-Scan Sonar Image Augmentation. [PDF]
Peng C, Jin S, Bian G, Cui Y.
europepmc +1 more source
An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection. [PDF]
Wang X, Hao W, Li Q.
europepmc +1 more source
Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery. [PDF]
PowarzyĆski D +3 more
europepmc +1 more source

