Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm [PDF]
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
Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey
Underwater acoustic target recognition has always played a pivotal role in ocean remote sensing. By analyzing and processing ship-radiated signals, it is possible to determine the type and nature of a target.
Sheng Feng +3 more
doaj +4 more sources
Present status and challenges of underwater acoustic target recognition technology: A review
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 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
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
Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network
Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and ...
Fang Ji +4 more
doaj +3 more sources
STM: Spectrogram Transformer Model for Underwater Acoustic Target Recognition
With the evolution of machine learning and deep learning, more and more researchers have utilized these methods in the field of underwater acoustic target recognition.
Peng Li +4 more
doaj +3 more sources
Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research [PDF]
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
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
Joint learning model for underwater acoustic target recognition
Shengzhao Tian, Duanbing Chen
exaly +2 more sources

