Temperature and Emissivity Retrieval From Hyperspectral Thermal Infrared Data Using Dictionary-Based Sparse Representation for Emissivity

Author:

Ma Chenyang1ORCID,Qian Yonggang1ORCID,Li Kun1ORCID,Dou Xianhui2,Shen Huanfeng3ORCID,Tang Hongzhao2,Qiu Shi1,Zhang Lihua4,Jia Yuanyuan5,Ou-Yang Guangzhou1

Affiliation:

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

2. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China

3. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

4. Department of Mathematics, Shanghai Maritime University, Shanghai, China

5. National Center of Standards Evaluation, State Administration for Market Regulation, Beijing, China

Funder

National Key Research and Development Program of China

Key Program of National Natural Science Foundation of China

General Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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1. Radiometric Calibration of China HJ-2B Thermal Infrared Channels Based on Multiple Ground Observations;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Urban Surface Temperature Inversion from SDGSAT-1 Satellite;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Estimation of Land Surface Temperature from Chinese ZY1-02E IRS Data;Remote Sensing;2024-01-18

4. Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Optimizing Rice Field Mapping in the Northern Region of China: An Asynchronous Flooding Signal and Object-Based Method;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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