Results 41 to 50 of about 1,765,935 (236)

Self Calibration of a Sonar–Vision System for Underwater Vehicles: A New Method and a Dataset

open access: yesSensors, 2023
Monocular cameras and multibeam imaging sonars are common sensors of Unmanned Underwater Vehicles (UUV). In this paper, we propose a new method for calibrating a hybrid sonar–vision system.
Nicolas Pecheux   +3 more
doaj   +1 more source

Calibration and image formation in the ABACUS sonar system [PDF]

open access: yes, 2005
Includes bibliographical references (leaves 138-139)
Ng, Ferdinand
core   +1 more source

Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields

open access: yesSensors, 2021
Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light waters. For analyzing fish behavior in sonar images, fish segmentation is often required.
Chin-Chun Chang   +2 more
doaj   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

open access: yesAdvanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia   +3 more
wiley   +1 more source

Optimizing Strategies for Non‐Invasive Prospection of Settlements in the Intertidal Zone: A Case Study From the Centre of the Drowned Medieval Village of Tolsende (Scheldt Estuary, the Netherlands)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Medieval and early modern drowned villages in the intertidal zone of the Scheldt estuary (the Netherlands) constitute intriguing yet largely understudied components of north‐western Europe's underwater cultural heritage. Despite their high archaeological potential as time capsules of past settlement landscapes, research has remained limited ...
Jan Trachet   +9 more
wiley   +1 more source

Multistatic Modular Real‐Time MIMO‐SONAR Systems

open access: yesIET Radar, Sonar & Navigation
Mulitstatic SONAR networks (MSNs) have the potential to improve the imaging quality of underwater areas due to the increased degree of freedom. The additional signal processing required for such a network of distributed SONAR nodes compared to monostatic
Frederik Kühne   +5 more
doaj   +1 more source

Scanning Parametric Sediment Echosounder as Tool for Underwater Archaeological Prospection

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Underwater cultural heritage 3D prospection techniques, especially for remains that are partly buried in the ground, are only very rarely available and often can only be applied with considerable technical effort. To overcome this limitation, we evaluate a methodological adaption of widely used and available single channel parametric sediment ...
Dennis Wilken   +5 more
wiley   +1 more source

A new imaging riometer based on Mills Cross technique [PDF]

open access: yes, 2003
A new type of imaging riometer system based on a Mills Cross antenna array is currently under construction by the Ionosphere and Radio Propagation Group, Department of Communication Systems, Lancaster in collaboration with the Max-Planck-Institut für ...
Nielsen, E.   +6 more
core   +4 more sources

SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars

open access: yes2024 IEEE International Conference on Robotics and Automation (ICRA)
In this paper, we address the challenging problem of data association for underwater SLAM through a novel method for sonar image correspondence using learned features. We introduce SONIC (SONar Image Correspondence), a pose-supervised network designed to yield robust feature correspondence capable of withstanding viewpoint variations.
Samiran Gode   +2 more
openaire   +4 more sources

Object Detection in Sonar Images [PDF]

open access: yesElectronics, 2020
The scope of the project described in this paper is the development of a generalized underwater object detection solution based on Automated Machine Learning (AutoML) principles. Multiple scales, dual priorities, speed, limited data, and class imbalance make object detection a very challenging task. In underwater object detection, further complications
Karimanzira, Divas   +3 more
openaire   +1 more source

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