Underwater Terrain Matching Method Based on Pulse-Coupled Neural Network for Unmanned Underwater Vehicles

The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (PCNN), which has been effectively utilized for...

Full description

Saved in:
Bibliographic Details
Published inJournal of marine science and engineering Vol. 12; no. 3; p. 458
Main Authors Chen, Pengyun, Li, Zhiru, Liu, Guangqing, Wang, Ziyi, Chen, Jiayu, Shi, Shangyao, Shen, Jian, Li, Lizhou
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2024
Subjects
Accuracy
Acoustics
Algorithms
Autonomous underwater vehicles
Data points
Error analysis
Matching
matching point screening
Measurement techniques
Methods
Neural networks
Noise measurement
Nonlinear systems
Nonlinearity
pulse-coupled neural network
semi-physical simulation
Terrain
terrain matching positioning
Topography
Underwater vehicles
unmanned underwater vehicle
Unmanned underwater vehicles
Online AccessGet full text

Cover

More Information
Summary:The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (PCNN), which has been effectively utilized for image denoising. The interconnection of surface terrain data nodes is achieved through PCNN ignition, which serves to alleviate the reduction in terrain similarity caused by measurement error. This enables the efficient selection of terrain data, ensuring that points with high measurement accuracy are preserved for terrain matching and positioning operations. The simulation results illustrate that the suggested methodology effectively removes terrain data points with low measurement accuracy, thereby improving the performance of terrain matching and positioning.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse12030458