Results 31 to 40 of about 225,239 (334)

SDNet: Image‐based sonar detection network for multi‐scale objects

open access: yesIET Image Processing, 2023
Autonomous Underwater Vehicle (AUV) carrying sonar for object detection has become one of the main ways of ocean exploration. However, object detection in sonar images always faces the problems of balancing detection accuracy and efficiency. To this end,
Pengfei Shi   +4 more
doaj   +1 more source

PROSPECTS FOR THE USE OF COMPOSITE RESISTORS IN THE HARDWARE OF INFORMATION AND MEASUREMENT SYSTEMS

open access: yesНадежность и качество сложных систем, 2022
Background. Non-wire resistors are one of the most popular types of radio components. Their number in modern radio equipment reaches more than one third (40 %) of the total number of all resistors.
A.Yu. Dorosinskiy   +2 more
doaj   +1 more source

ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]

open access: yes, 1998
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A.   +2 more
core   +2 more sources

Underwater Localization and Mapping Based on Multi-Beam Forward Looking Sonar

open access: yesFrontiers in Neurorobotics, 2022
SLAM (Simultaneous Localization And Mapping) plays a vital role in navigation tasks of AUV (Autonomous Underwater Vehicle). However, due to a vast amount of image sonar data and some acoustic equipment's inherent high latency, it is a considerable ...
Chensheng Cheng   +4 more
semanticscholar   +1 more source

Underwater Object Classification in Sidescan Sonar Images Using Deep Transfer Learning and Semisynthetic Training Data

open access: yesIEEE Access, 2020
Sidescan sonars are increasingly used in underwater search and rescue for drowning victims, wrecks and airplanes. Automatic object classification or detection methods can help a lot in case of long searches, where sonar operators may feel exhausted and ...
Guanying Huo, Ziyin Wu, Jiabiao Li
semanticscholar   +1 more source

A blind contour‐aware quality model for sonar images

open access: yesIET Image Processing, 2022
Since the penetration depth of visible light is limited in muddy and dark deep marine environment, sonar imaging, which is independent of natural light, has been attracting much attention in underwater detections.
Weiling Chen   +3 more
doaj   +1 more source

Investigation and Numerical Simulation of the Acoustic Target Strength of the Underwater Submarine Vehicle

open access: yesInventions, 2022
Modern weapon systems’ survival hinges on their detection capabilities more than anything else. In the active sonar equation, the acoustic target strength is crucial.
Kaveripakam Sathish   +4 more
doaj   +1 more source

Vertical dimension acoustic field interference pattern prediction and source depth estimation in deep ocean [PDF]

open access: yesJASA Express Letters
In this Letter, a simplified expression of the vertical dimension narrowband interference pattern in deep water direct arrival zone is theoretically derived. The correlation between the vertical dimension interference pattern and source depth is analyzed,
Guangying Zheng   +6 more
doaj   +1 more source

Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones

open access: yesRemote Sensing, 2021
In this work, we proposed to include remote sensing techniques as a part of the methodology for natural lake bottom mapping, with a focus on the littoral zone.
Jarosław Chormański   +5 more
doaj   +1 more source

APPLICATION OF PHYSICAL AND TECHNICAL METHODS FOR IDENTIFYING WIRE RESISTORS’ FAILURES CAUSES

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки, 2020
Background. The object of the study is the failure of wire resistors caused by various types of defects in parts, components, and materials used in the production of resistive sensors.
A. Ju. Dorosinskij
doaj   +1 more source

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