Indicator Spectral Bands and Logistic Models for Detecting Diesel and Gasoline Polluted Soils Based on Close-Range Hyperspectral Image Data-Reference-Cited by-同舟云学术

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Indicator Spectral Bands and Logistic Models for Detecting Diesel and Gasoline Polluted Soils Based on Close-Range Hyperspectral Image Data

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Seo Jihee¹^ORCID,Yu Jaehyung²^ORCID,Wang Lei³^ORCID

Affiliation:

1. Department of Astronomy, Space-Science and Geology, Chungnam National University, Daejeon, South Korea

2. Department of Geological Sciences, Chungnam National University, Daejeon, South Korea

3. Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA

Funder

National Research Foundation (NRF) of Korea through the Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10092858.pdf?arnumber=10092858

Reference74 articles.

1. Assessing the detection limit of petroleum hydrocarbon in soils using hyperspectral remote-sensing

2. Evaluation of the USDA soil texture triangle through Atterberg limits and an alternative classification system

3. Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques

4. Potassium Status of Temperate Region Soils

5. Spectral Reflectance Properties of Hydrocarbons: Remote-Sensing Implications

Cited by 3 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. Estimation of the dolomite content of carbonate rock outcrops based on spectral knowledge and machine learning;Frontiers in Earth Science;2024-06-11

2. Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction;Science of The Total Environment;2024-06

3. Statistical Texture Awareness Network for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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