Results 51 to 60 of about 6,273,313 (270)
Artificial Reef Detection Method for Multibeam Sonar Imagery Based on Convolutional Neural Networks
Artificial reef detection in multibeam sonar images is an important measure for the monitoring and assessment of biological resources in marine ranching.
Zhipeng Dong +5 more
doaj +1 more source
Spatial coding in sonar imaging
A practical deployment is presented for sonar imaging with fewer transmitters and receivers. Spatial coding via transmit beamforming is used for target detection and localisation. Transmit beamforming reduces the ambiguity in a model and improves imaging performance.
Jingxi Wang +3 more
openaire +1 more source
Radar and Sonar Imaging and Processing [PDF]
The 21 papers (from 61 submitted) published in the Special Issue “Radar and Sonar Imaging Processing” highlighted a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI dealt with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends ...
Andrzej Stateczny +2 more
openaire +2 more sources
On the Information Advantage of Sidescan Sonar Three-Frequency Colour over Greyscale Imagery
A prototype three-frequency (114, 256, and 410 kHz) colour sidescan sonar system, built by Kongsberg Underwater Mapping Ltd. (Great Yarmouth, UK), was previously described, and preliminary results presented, in Tamsett, McIlvenny, and Watts.
Duncan Tamsett +4 more
doaj +1 more source
Improving Sonar Image Patch Matching via Deep Learning
Matching sonar images with high accuracy has been a problem for a long time, as sonar images are inherently hard to model due to reflections, noise and viewpoint dependence.
Valdenegro-Toro, Matias
core +1 more source
An Improved Object Detection Method for Underwater Sonar Image Based on PP-YOLOv2
Forward-looking sonar is widely used in underwater obstacles and objects detection for navigational safety. Automatic sonar images recognition plays an important role to reduce the workload of staff and subjective errors caused by visual fatigue. However,
Fang Wang +5 more
semanticscholar +1 more source
Sonar Image Detection Based on Multi-Scale Multi-Column Convolution Neural Networks
Automatic detection of underwater objects by sonar images is an important and challenging topic in applications of Autonomous Underwater Vehicle (AUV) under the complex marine environment.
Zhen Wang, Shanwen Zhang
doaj +1 more source
The Use of Multi-beam Sonars to Image Bubbly Ship Wakes [PDF]
During the past five years, researchers at Penn State University (PSU) have used upward-looking multi-beam (MB) sonar to image the bubbly wakes of surface ships.
Bradley, David L +2 more
core +1 more source
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source
A Gray Scale Correction Method for Side-Scan Sonar Images Based on Retinex
When side-scan sonars collect data, sonar energy attenuation, the residual of time varying gain, beam patterns, angular responses, and sonar altitude variations occur, which lead to an uneven gray level in side-scan sonar images.
Xiufen Ye +4 more
doaj +1 more source

