.png){kind=icon}
返回
Seabed Classification From Multispectral Multibeam Data
.png){kind=icon}
OA
AI
DOI：10.1109/JOE.2023.3267795.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Given the recent increase in the availability of multispectral multibeam echosounder data, this work aims to identify suitable processing and classification methodologies for seabed classification based on such data. We propose a complete processing and classification pipeline and investigate the adequacy of state-of-the-art classification algorithms to perform seabed classification based on multispectral backscatter data alone, and when additional data sources are considered. Starting from raw acquisition data, we generate region-wide multispectral backscatter composite images through noise removal, inpainting/gap-filling and mosaicking. Ground truth data from in situ seabed samples are used. We have tried different classification methods, including random forests, support vector machines, and multilayer perceptrons, with the latter providing the best results. Quantitative and qualitative evaluation on five surveys indicate high classification performance based only on multispectral backscatter data, while additional features, like bathymetry, bathymetric positional index (BPI), or positional encoding, offer limited gains. We offer a web service for seabed classification from multispectral multibeam echosounder data to further support and increase interest in the topic.
Keyword:
Backscatter
data analysis
echo sounding
machine learning
seabed classification
seafloor mapping
期刊
IF:
5.3
论文数:
2.6K
被引数:
7.4K
机构
引用论文
Characterization of resistance to the wheat stem sawfly in spring wheat landrace accessions from targeted geographic regions of the world.png)
Euphytica
EuphyticaIF0
PREAI
分享收藏Seabed sediment classification using multibeam backscatter data based on the selecting optimal random forest modelAPPLIED ACOUSTICS
APPLIED ACOUSTICSIF3.6
PREAI
分享收藏Research on the Efficiency of Wireless Power Transfer System Based on Multi-Auxiliary Transmitting Coils基于多辅助发射线圈的无线电能传输系统效率研究
PREAI
分享收藏Analysis of black carbon, particulate matter, and gaseous pollutants in an industrial area in Korea
PREAI
分享收藏Assessing the use of harmonized multisource backscatter data for thematic benthic habitat mapping
OAAI
OAAI分享收藏
查看更多内容