Object perception in underwater environments: a survey on sensors and sensing methodologies

DQ Huy, N Sadjoli, AB Azam, B Elhadidi, Y Cai… - Ocean …, 2023 - Elsevier
Underwater robots play a critical role in the marine industry. Object perception is the
foundation for the automatic operations of submerged vehicles in dynamic aquatic …

[HTML][HTML] A review on deep learning-based approaches for automatic sonar target recognition

D Neupane, J Seok - Electronics, 2020 - mdpi.com
Underwater acoustics has been implemented mostly in the field of sound navigation and
ranging (SONAR) procedures for submarine communication, the examination of maritime …

Automatic target recognition for mine countermeasure missions using forward-looking sonar data

N Palomeras, T Furfaro, DP Williams… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The detection of objects on the seafloor is a complex task. The domain of the detection and
classification of naval mines is additionally complicated by the high risk nature of the task …

[HTML][HTML] 基于深度学习的水下图像目标检测综述

罗逸豪, 刘奇佩, 张吟, 周河宇, 张钧陶, 曹翔 - 电子与信息学报, 2023 - jeit.ac.cn
水下图像目标检测是水下智能化探测的核心技术之一, 广泛应用于工业及军事领域.
深度学习相关技术的突破为水下图像目标检测的发展带来了新的机遇, 但是目前该领域的综述 …

Real-time underwater target detection for AUV using side scan sonar images based on deep learning

L Li, Y Li, C Yue, G Xu, H Wang, X Feng - Applied Ocean Research, 2023 - Elsevier
To overcome the shortcomings of traditional methods for underwater target detection in
sonar images, a novel target detection algorithm based on deep learning is proposed for the …

Optimizing the sediment classification of small side-scan sonar images based on deep learning

X Qin, X Luo, Z Wu, J Shang - IEEE Access, 2021 - ieeexplore.ieee.org
Acoustic seabed classification (ASC) is a fast and large-scale seabed sediment survey
method. In particular, combining it with an automated classifier can theoretically achieve fast …

Active sonar image classification using deep convolutional neural network evolved by robust comprehensive grey wolf optimizer

M Najibzadeh, A Mahmoodzadeh, M Khishe - Neural Processing Letters, 2023 - Springer
This paper proposes a deep convolutional neural network (DCNN) to design an accurate
active sonar image classifier. In order to have a real-time classifier with low complexity, The …

[HTML][HTML] A systematic review of state-of-the-art technologies for monitoring plastic seafloor litter

M Sandra, LI Devriese, AM Booth, B De Witte… - Journal of Ocean …, 2023 - Elsevier
Plastic litter has been widely documented in our oceans, leading to growing worldwide
concerns regarding its potential impact on the marine environment. A large proportion of this …

[HTML][HTML] A two-mode underwater smart sensor object for precision aquaculture based on AIoT technology

CC Chang, NA Ubina, SC Cheng, HY Lan, KC Chen… - Sensors, 2022 - mdpi.com
Monitoring the status of culture fish is an essential task for precision aquaculture using a
smart underwater imaging device as a non-intrusive way of sensing to monitor freely …

Rotated object detection with forward-looking sonar in underwater applications

G Neves, M Ruiz, J Fontinele, L Oliveira - Expert Systems with Applications, 2020 - Elsevier
Autonomous underwater vehicles (AUVs) are often used to inspect the condition of
submerged structures in oil and gas fields. Because the use of global positioning systems to …