Results 281 to 290 of about 228,033 (349)

Design of Forward-Looking Sonar System for Real-Time Image Segmentation With Light Multiscale Attention Net

IEEE Transactions on Instrumentation and Measurement
Forward-looking sonar is a commonly used underwater detection device. However, due to the complex underwater environment, small target areas, and blurred features, the detection accuracy is poor and not conducive to quickly finding the desired targets ...
Dongdong Zhao, Hongchao Zhou, Peng Chen, Yingtian Hu, Weihao Ge, Yuanjie Dang, Ronghua Liang   +6 more
semanticscholar   +1 more source

Underwater Sonar Target Detection Based on Improved ScEMA-YOLOv8

IEEE Geoscience and Remote Sensing Letters
Underwater target detection is mainly achieved through two methods: optical imaging and sonar scanning. Compared to optical imaging, sonar target detection has the characteristics of strong penetration and long scanning distance, which makes it more ...
Linhan Zheng, Tao Hu, Jin Zhu
semanticscholar   +1 more source

Sonar image intelligent processing in seabed pipeline detection: review and application

Measurement science and technology
Subsea pipelines rely primarily on imaging sonar for detection and identification. We analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture sonar, seafloor penetrating sonar and forward-looking sonar.
Bo Shi, Tianyu Cao, Qiqi Ge, Yuan Lin, Zitao Wang   +4 more
semanticscholar   +1 more source

Sonar Image Generation by MFA-CycleGAN for Boosting Underwater Object Detection of AUVs

IEEE Journal of Oceanic Engineering
Acquiring large amounts of high-quality real sonar data for object detection of autonomous underwater vehicles (AUVs) is challenging. Synthetic data can be an alternative, but it is hard to generate diverse data using traditional generative models when ...
Jianqun Zhou, Yang Li, Hongmao Qin, Pengwen Dai, Zilong Zhao, Manjiang Hu   +5 more
semanticscholar   +1 more source

Dual Spatial Attention Network for Underwater Object Detection With Sonar Imagery

IEEE Sensors Journal
Underwater object detection with sonar imagery has gained significant attention in the object detection community. However, sonar images have less visual information than optical images, so the detailed features between the object and the background are ...
Zikang Li, Zhuojun Xie, Puhong Duan, Xudong Kang, Shutao Li   +4 more
semanticscholar   +1 more source

A Local Region-Based Level Set Method With Markov Random Field for Side-Scan Sonar Image Multi-Level Segmentation

IEEE Sensors Journal, 2021
Side-scan sonar is widely utilized in the field of underwater exploration. Accurate segmentation of the side-scan sonar images is an essential part of sonar image processing.
Junwei Li, Peng Jiang, He Zhu
semanticscholar   +1 more source

Noise reduction for sonar images by statistical analysis and fields of experts

Journal of Visual Communication and Image Representation, 2021
Sonar images are usually suffering from speckle noise which results in poor visual quality. In order to improve the sonar imaging quality, removing or reducing these speckle noises is a very important and arduous task.
Fei Yuan, Fengqi Xiao, Kaihan Zhang, Yifan Huang, En Cheng   +4 more
semanticscholar   +1 more source

SONAR

Proceedings of the 12th International Conference on Availability, Reliability and Security, 2017
Everyday, security experts face a growing number of security events that affecting people well-being, their information systems and sometimes the critical infrastructure. The sooner they can detect and understand these threats, the more they can mitigate and forensically investigate them.
Quentin Le Sceller, ElMouatez Billah Karbab, Mourad Debbabi, Farkhund Iqbal   +3 more
openaire   +1 more source

Research of new concept sonar-cognitive sonar

Journal of Marine Science and Application, 2011
The performance of a sonar system is closely related to the marine environment and the target characteristics. When dealing with the echoes of a traditional active sonar system, the sonar designers often do not take into account the influence of the environmental information and prior knowledge perceived by sonar receivers, making it difficult to ...
Xiaohua Li, Yaan Li, Lin Cui, Wangsheng Liu   +3 more
openaire   +1 more source

On the Use of Tiny Convolutional Neural Networks for Human-Expert-Level Classification Performance in Sonar Imagery

IEEE Journal of Oceanic Engineering, 2020
Efficient convolutional neural networks (CNNs) are designed and trained for an underwater target classification task with synthetic aperture sonar (SAS) imagery collected at sea. The main contribution is demonstrating that classification performance that
David P. Williams
semanticscholar   +1 more source