Estimation of Hazardous and Noxious Substance (Toluene) Thickness Using Hyperspectral Remote Sensing-Reference-Cited by-同舟云学术

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Estimation of Hazardous and Noxious Substance (Toluene) Thickness Using Hyperspectral Remote Sensing

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Park Jae-Jin¹,Park Kyung-Ae²,Foucher Pierre-Yves³,Kim Tae-Sung¹,Kim Yong-Myung¹,Lee Moonjin¹

Affiliation:

1. Korea Research Institute of Ships and Ocean Engineering,Ocean and Maritime Digital Technology Research Division,Daejeon,Republic of Korea,34103

2. Seoul National University,Department of Earth Science Education,Seoul,Republic of Korea,08826

3. Office National d'Etudes et Recherches Aérospatiales,Department of Theoretical and Applied Optics,Toulouse,France,31055

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283075.pdf?arnumber=10283075

Reference4 articles.

1. The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model

2. Finite mixture models and model-based clustering

3. Statistical Representation of Distribution System Loads Using Gaussian Mixture Model

4. Hazardous and Noxious Substances (HNS) in the marine environment: Prioritizing HNS that pose major risk in a European context

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