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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm [PDF]

open access: yesSensors
Underwater object detection is highly complex and requires a high speed and accuracy. In this paper, an underwater target detection model based on YOLOv8 (SPSM-YOLOv8) is proposed. It solves the problems of high computational complexities, slow detection
Shun Cheng   +5 more
doaj   +4 more sources

Underwater Target Recognition Based on Multi-Decision LOFAR Spectrum Enhancement: A Deep-Learning Approach

open access: yesFuture Internet, 2021
Underwater target recognition is an important supporting technology for the development of marine resources, which is mainly limited by the purity of feature extraction and the universality of recognition schemes. The low-frequency analysis and recording
Jie Chen   +3 more
doaj   +3 more sources

A Survey of Target Detection and Recognition Methods in Underwater Turbid Areas

open access: yesApplied Sciences, 2022
Based on analysis of state-of-the-art research investigating target detection and recognition in turbid waters, and aiming to solve the problems encountered during target detection and the unique influences of turbidity areas, in this review, the main ...
Xin Yuan   +4 more
doaj   +3 more sources

Present status and challenges of underwater acoustic target recognition technology: A review

open access: yesFrontiers in Physics, 2022
Future naval warfare has placed high demands on underwater targets’ target detection, target recognition, and opposition resistance, among other things. However, the ocean’s complex underwater acoustic environment and the evolving “stealth” technology of
Lei Zhufeng   +3 more
doaj   +3 more sources

Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks

open access: yesSensors, 2021
Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target feature extraction and recognition using ship-radiated noise.
Gang Hu, Kejun Wang, Liangliang Liu
doaj   +3 more sources

Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research [PDF]

open access: yesFrontiers in Neurorobotics
The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing to meet the needs of underwater environment detection.
Xiaorong Qiu, Yingzhong Shi
doaj   +2 more sources

Feature Extraction Methods for Underwater Acoustic Target Recognition of Divers

open access: yesSensors
The extraction of typical features of underwater target signals and excellent recognition algorithms are the keys to achieving underwater acoustic target recognition of divers.
Yuchen Sun   +6 more
doaj   +3 more sources

Compressed Sensing Multiscale Sample Entropy Feature Extraction Method for Underwater Target Radiation Noise

open access: yesIEEE Access, 2022
Accurate underwater target detection and recognition in complex marine environments has always been a challenge. There is a lot of information in underwater target radiation noise that is important for underwater target recognition.
Zhufeng Lei   +4 more
doaj   +1 more source

Model for Underwater Acoustic Target Recognition with Attention Mechanism Based on Residual Concatenate

open access: yesJournal of Marine Science and Engineering, 2023
Underwater acoustic target recognition remains a formidable challenge in underwater acoustic signal processing. Current target recognition approaches within underwater acoustic frameworks predominantly rely on acoustic image target recognition models ...
Zhe Chen   +3 more
doaj   +1 more source

Automatic Alignment Method of Underwater Charging Platform Based on Monocular Vision Recognition

open access: yesJournal of Marine Science and Engineering, 2023
To enhance the crypticity and operational efficiency of unmanned underwater vehicle (UUV) charging, we propose an automatic alignment method for an underwater charging platform based on monocular vision recognition.
Aidi Yu   +3 more
doaj   +1 more source

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