收稿：2021-05-12，
纸质出版：2021-08-07
移动端阅览
高光谱热红外数据中蕴含着丰富的长波光谱信息，可以更精细的揭示地气耦合过程导致的辐射变化，反映热红外谱段特有的地物诊断特征，同时高光谱特性也可以为热红外关键特征参数的病态反演问题提供更合理的假设和约束条件，具有重要的研究价值和应用前景。高光谱热红外遥感技术自诞生起，在吸纳多光谱热红外遥感技术的基础上迅速发展，成为热红外遥感领域的重要研究方向和突破点。然而，当前高光谱热红外遥感存在着可用数据不足，处理方法传统，反演精度有限，应用难以有效实施等问题。为进一步明晰高光谱热红外遥感的研究进展和现存挑战，本文在高光谱热红外相关文献深入分析的基础上，梳理了高光谱热红外研究的发展脉络和热点，介绍了现有国内外主要的高光谱热红外传感器，分析了高光谱大气效应校正、地表温度和发射率分离以及地气关键特征参数一体化反演的现状和问题，总结了相关典型行业应用，展望了高光谱热红外的发展方向，以期为未来高光谱热红外研究工作的开展提供借鉴和帮助。
Hyperspectral thermal infrared data contains abundant long-wave spectral information
which can reveal radiation changes caused by the land-atmosphere coupling process more precisely and reflect the unique diagnostic characteristics of the thermal infrared spectrum. At the same time
the hyperspectral characteristics can also provide more reasonable assumptions and constraints for the ill-posed inversion of the key thermal infrared characteristic parameters. Therefore
the hyperspectral thermal infrared remote sensing has important research value and application prospect. Since its birth
hyperspectral thermal infrared remote sensing technology has developed rapidly on the basis of absorbing multispectral thermal infrared remote sensing technology
and has become an important research direction and breakthrough point of thermal infrared remote sensing research. However
there are some problems in the current hyperspectral thermal infrared remote sensing
such as lack of available data
traditional processing methods
limited inversion accuracies
and difficult implementation of the applications. To further clarify the research progress and existing challenges of hyperspectral thermal infrared remote sensing
based on the in-depth analysis of related literature
this paper sorts out the development process and hot spots of hyperspectral thermal infrared research
introduces the main hyperspectral thermal infrared sensors at home and abroad
and analyzes the current situation and problems of the atmospheric correction of hyperspectral atmospheric data
the separation of surface temperature and emissivity
and the integrated inversion of the key characteristic parameters of the land and atmosphere. Finally
the application of the relevant typical industries is summarized
and the future development direction of hyperspectral thermal infrared is prospected
so as to provide reference and help for the future research of hyperspectral thermal infrared remote sensing.
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