Thermal Infrared Hyperspectral Band Selection via Graph Neural Network for Land Surface Temperature Retrieval-Reference-Cited by-同舟云学术

Thermal Infrared Hyperspectral Band Selection via Graph Neural Network for Land Surface Temperature Retrieval

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhao Enyu¹^ORCID,Qu Nianxin¹,Wang Yulei¹^ORCID,Gao Caixia²^ORCID,Duan Si-Bo³^ORCID,Zeng Jian⁴,Zhang Qiang¹^ORCID

Affiliation:

1. Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China

2. Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

4. China Center for Resources Satellite Data and Application, Beijing, China

Funder

National Nature Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10505162.pdf?arnumber=10505162

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4. Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture

5. Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought