Improvement of Temperature and Emissivity Separation Algorithm for Thermal Infrared Hyperspectral Imaging Based on Airborne Data

Temperature and emissivity separation (TES) is a crucial process for converting thermal infrared (TIR) hyperspectral data into actionable information. Since the development of thermal infrared hyperspectral imagers is still in its nascent stage, most TES algorithms have been validated primarily usin...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2025, Vol.63, p.1-15
Hauptverfasser:	Zhang, Xia, Liu, Chengyu, Chen, Ruohan, Zeng, Biao, Xiong, Haoran, Wang, Kaiyu, Zhao, Suya
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Cost function Cubes Data acquisition Developmental stages Emissivity Filtering Hyperspectral imaging Image acquisition Information processing Infrared imaging Land resources Land surface emissivity Land surface temperature low emissivity Mathematical models Remote sensing Retrieval Separation Smoothing methods Temperature distribution Temperature measurement Temperature sensors Thermal imaging thermal infrared (TIR) hyperspectral urban environment Urban environments
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