Estimation of Marine Oil Spill Surface Characteristics Based on Laser-Induced Fluorescence With IA-DBSCAN-Reference-Cited by-同舟云学术

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Estimation of Marine Oil Spill Surface Characteristics Based on Laser-Induced Fluorescence With IA-DBSCAN

Published:2024 Issue: Volume:73 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Sun Qiankun¹^ORCID,Liu Weifeng¹^ORCID,Wen Chenglin²^ORCID,Cai Lei³^ORCID

Affiliation:

1. School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an, China

2. School of Automation, Guangdong University of Petrochemical Technology, Maoming, China

3. School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, China

Funder

National Natural Science Foundation of China

Henan Provincial Focus on Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10521568.pdf?arnumber=10521568

Reference48 articles.

1. Dual-Modality Capacitive-Ultrasonic Sensing for Measuring Floating Oil Spill Thickness

2. Assessing the Impact of Oil Spills on Marine Organisms

3. Preserving fragile ecosystems from oil spills – An environmental sensitivity assessment of the east coast of Trinidad

4. A machine learning approach to detect crude oil contamination in a real scenario using hyperspectral remote sensing

5. Application of C-band sentinel-1A SAR data as proxies for detecting oil spills of Chennai, East Coast of India

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