Determination of surface film thickness of heavy fuel oil using hyperspectral imaging and deep neural networks-Reference-Cited by-同舟云学术

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Determination of surface film thickness of heavy fuel oil using hyperspectral imaging and deep neural networks

Published:2022-02-01 Issue:3 Volume:43 Page:997-1014
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Kieu Hieu Trung¹^ORCID,Law Adrian Wing-Keung¹²^ORCID

Affiliation:

1. Environmental Process Modelling Centre, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore, Singapore

2. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore

Funder

Nanyang Technological University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2028200

Reference47 articles.

1. Detection and tracking of oil slicks on sun-glittered visible and near infrared satellite imagery

2. A state-of-the-art review of fate and transport of oil spills in open and ice-covered water

3. Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review

4. Oil spill detection by imaging radars: Challenges and pitfalls

5. Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Establishment and optimization of the three-band fluorometric indices for oil species identification: Implications on the optimal excitation wavelengths and the detection band combinations;Analytica Chimica Acta;2023-11

2. Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance;Remote Sensing;2023-10-13

3. An efficient dual feature fusion model of feature extraction for hyperspectral images;International Journal of Remote Sensing;2023-07-18

4. Automatic detection of thin oil films on water surfaces in ultraviolet imagery;The Photogrammetric Record;2023-02-09

5. Ultraviolet-induced fluorescence of oil spill recognition using a semi-supervised algorithm based on thickness and mixing proportion–emission matrices;Analytical Methods;2023

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