Results 11 to 20 of about 3,475,694 (250)

Dolphin-Inspired Target Detection for Sonar and Radar [PDF]

Archives of Acoustics, 2015
Abstract Gas bubbles in the ocean are produced by breaking waves, rainfall, methane seeps, exsolution, and a range of biological processes including decomposition, photosynthesis, respiration and digestion. However one biological process that produces particularly dense clouds of large bubbles, is bubble netting. This is practiced by several species of
Leighton, T.G., White, P.R.
openaire   +6 more sources

Detection of plastic litter using an ARIS sonar

, 2021
Dataset used for the note titled "Detection of plastic litter using an ARIS sonar." Summary: This report describes a first test in April 2021 to use an ARIS sonar to detect macro- and mesoplastic in the water column of the river Waal (a free flowing ...
Collas, F.P.L., Flores, N.Y., N.Y. Flores, Collas, dr. F.P.L. (Radboud University) DAI=info:eu-repo/dai/nl/433406372, Flores, N.Y. (Radboud University) DAI=info:eu-repo/dai/nl/433406321, F.P.L. Collas   +5 more
core   +2 more sources

Detecting Atlantic herring by parametric sonar [PDF]

The Journal of the Acoustical Society of America, 2010
The difference-frequency band of the Kongsberg TOPAS PS18 parametric sub-bottom profiling sonar, nominally 1–6 kHz, is being used to observe Atlantic herring. Representative TOPAS echograms of herring layers and schools observed in situ in December 2008 and November 2009 are presented.
Godø, Olav Rune, Foote, Kenneth G., Dybedal, Johnny, Tenningen, Eirik, Patel, Ruben   +4 more
openaire   +4 more sources

AUV-Based Side-Scan Sonar Real-Time Method for Underwater-Target Detection

Journal of Marine Science and Engineering, 2023
The limitations of underwater acoustic communications mean that the side-scan sonar data of an autonomous underwater vehicle (AUV) cannot be transmitted back and processed in real time, which means that targets cannot be detected in real time. To address
Yulin Tang, Liming Wang, Shaohua Jin, Jianhu Zhao, Chao Huang, Yongcan Yu   +5 more
doaj   +1 more source

Research on the use of aerial sonar under deep sea conditions [PDF]

Zhihui kongzhi yu fangzhen
In this paper, the use of airborne sonar under deep sea conditions is studied. The sonar detection distance model is established by using the sonar equation.
DONG Caiping, ZHENG Xiaoqing, CUI Shuangyue, ZHANG Jinhua
doaj   +1 more source

A Track Initiation Method Based on Multiple Accumulation of Active Sonar Images

水下无人系统学报, 2023
To meet the requirements of autonomous detection of underwater moving targets in a strong reverberation background, a track initiation algorithm based on multiple accumulations of active sonar images was proposed to solve the problem of large amounts of ...
Kai WANG, Junsheng JIAO
doaj   +1 more source

A risk function for behavioral disruption of Blainville’s beaked whales (Mesoplodon densirostris) from mid-frequency active sonar [PDF]

, 2014
There is increasing concern about the potential effects of noise pollution on marine life in the world’s oceans. For marine mammals, anthropogenic sounds may cause behavioral disruption, and this can be quantified using a risk function that relates sound
Ashley Dilley, Neales, Bert, Jarvis, S, Thomas Len, Bert Neales, Dilley, Ashley, Harwood John, McCarthy, Elena, Jessica Shaffer, New, Leslie, Morrissey, Ronald, Moretti David, Leslie New, Marques, Tiago A., Moretti, David, Shaffer Jessica, Harwood, John, John Harwood, Marques, Tiago, Neales Bert, David Moretti, Susan Jarvis, Shaffer, Jessica, Morrissey Ronald, Tiago Marques, New Leslie, Mccarthy, E, Morrissey, Ron, Ronald Morrissey, Jarvis Susan, New, Leslie Frances, Len Thomas, Marques Tiago, Dilley Ashley, Elena McCarthy, Jarvis, Susan, McCarthy Elena, Thomas, Len, Thomas, Len; id_orcid, Marques, Tiago A.; id_orcid   +39 more
core   +2 more sources

A Texture Feature Removal Network for Sonar Image Classification and Detection

Remote Sensing, 2023
Deep neural network (DNN) was applied in sonar image target recognition tasks, but it is very difficult to obtain enough sonar images that contain a target; as a result, the direct use of a small amount of data to train a DNN will cause overfitting and ...
Chuanlong Li, Xiufen Ye, Jier Xi, Yunpeng Jia   +3 more
doaj   +1 more source

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik, Shahzad Hassan, Rizwan Ali Naqvi, Saddaf Rubab, Usman Tariq, Monia Hamdi, Hela Elmannai, Ye Jin Kim, Jae‐Hyuk Cha   +8 more
wiley   +1 more source

Neural Network-Based Underwater Object Detection off the Coast of the Korean Peninsula

Journal of Marine Science and Engineering, 2022
Recently, neural network-based deep learning techniques have been actively applied to detect underwater objects in sonar (sound navigation and ranging) images.
Won-Ki Kim, Ho Seuk Bae, Su-Uk Son, Joung-Soo Park   +3 more
doaj   +1 more source