[HTML][HTML] Survey on deep learning based computer vision for sonar imagery
Y Steiniger, D Kraus, T Meisen - Engineering Applications of Artificial …, 2022 - Elsevier
Research on the automatic analysis of sonar images has focused on classical, ie non deep
learning based, approaches for a long time. Over the past 15 years, however, the application …
learning based, approaches for a long time. Over the past 15 years, however, the application …
Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review
Y Chai, H Yu, L Xu, D Li, Y Chen - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the rapid development of underwater sensor techniques, using acoustic techniques to
obtain and analyze underwater images is an effective approach due to the superior nature of …
obtain and analyze underwater images is an effective approach due to the superior nature of …
The suitability of machine-learning algorithms for the automatic acoustic seafloor classification of hard substrate habitats in the German bight
G Breyer, A Bartholomä, R Pesch - Remote Sensing, 2023 - mdpi.com
The automatic calculation of sediment maps from hydroacoustic data is of great importance
for habitat and sediment map** as well as monitoring tasks. For this reason, numerous …
for habitat and sediment map** as well as monitoring tasks. For this reason, numerous …
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial Intelligence
Deep learning techniques have revolutionized image classification by mimicking human
cognition and automating complex decision-making processes. However, the deployment of …
cognition and automating complex decision-making processes. However, the deployment of …
Detection of defects in underwater concrete structures: Integrating compact robotic systems with an edge detection model
B Zhang, J Jiang, X Gao, Y Lin, F Lin, H Huang - Ocean Engineering, 2025 - Elsevier
Underwater infrastructure inspection is essential for ensuring the integrity and safety of
submerged structures. Current inspection methods face challenges related to accuracy …
submerged structures. Current inspection methods face challenges related to accuracy …
Enhanced Underwater Object Detection in Sonar Images with Range-Setting Embedding and Sliding Window Preprocessing
G Baatar, L Ritzau, D Karimanzira… - OCEANS 2024 …, 2024 - ieeexplore.ieee.org
This paper presents a robust real-time object detection approach utilizing sonar imagery
from forward looking sonar systems, aimed at enhancing navigation and obstacle avoidance …
from forward looking sonar systems, aimed at enhancing navigation and obstacle avoidance …
弱特征共焦通道调控水下声呐目标检测
何梦云， 何自芬， 张印辉， 陈光晨， 张枫 - **光学 (中英文), 2024 - chineseoptics.net.cn
声呐图像视觉检测是复杂水域资源勘探和水下异物目标探测领域的重要技术之一.
针对声呐图像中小目标存在特征微弱和背景信息干扰问题, 本文提出弱特征共焦通道调控水下 …
针对声呐图像中小目标存在特征微弱和背景信息干扰问题, 本文提出弱特征共焦通道调控水下 …
[HTML][HTML] 用于水下声呐目标检测的弱特征共焦通道调控方法
何梦云， 何自芬， 张印辉， 陈光晨， 张枫 - Chinese Optics, 2024 - opticsjournal.net
摘要声呐图像视觉检测是复杂水域资源勘探和水下异物目标探测领域的重要技术之一.
针对声呐图像中小目标存在的特征微弱和背景信息干扰问题, 本文提出弱特征共焦通道调控水下 …
针对声呐图像中小目标存在的特征微弱和背景信息干扰问题, 本文提出弱特征共焦通道调控水下 …