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常规单一角度热红外谱段观测获得的是像元平均温度,无法区分像元内不同地物的类别信息,导致物理意义模糊不清,在数据应用时无法满足精细地表温度反演的需求。红外多角度遥感数据通过双层能量模型、结合先验知识可以反演混合像元的组分温度(土壤、植被冠层等);可利用不同辐射传输路径获得红外大气透过率的差异,可从图像自身提供的信息反演所需的大气参数,在无大气廓线情况下有效的完成大气校正,减少地表温度反演过程中带来的误差,提高地表真实温度的反演精度;可以获得更为全面的异质异构地表的热辐射状态,避免由于遮挡或者不可见而损失的热辐射信息。另外,红外多角度观测对于更为客观认识地表热辐射状态提供了可能,其在陆表生态系统建模、地表能量平衡研究等方面具有重要科学价值,同时也为热辐射方向性科学探索提供了必不可少的数据支撑。红外多角度光学遥感为热红外遥感数据定量反演提供了有效的手段,是一个重要的发展方向;无论是对工程应用还是对科学研究,红外多角度空间光学遥感器及其应用的研究都有非常重要的意义。
Conventional single-angle thermal infrared spectrum observation obtains the average temperature of the pixel, and can not distinguish the category information of different features within the pixel, resulting in the obscure physical meaning, and can not meet the requirement of fine surface temperature inversion when the data is applied. Infrared multi-angle remote sensing data can be used to invert the component temperature (soil, vegetation canopy, etc.) of the mixed pixels through the double-layer energy model combined with prior knowledge, and the difference of the infrared atmospheric transmittance can be obtained by using different radiation transmission paths The required atmospheric parameters are retrieved from the information provided by the image itself, the atmospheric correction is effectively completed without atmospheric profile, the errors brought by the inversion of the surface temperature are reduced, and the inversion accuracy of the real surface temperature is improved. More comprehensive heterogeneous surface thermal radiation conditions, to avoid due to shadowing or invisible loss of thermal radiation information. In addition, infrared multi-angle observation provides a more objective understanding of surface thermal radiation status, which has important scientific value in the study of terrestrial ecosystem modeling and surface energy balance research, and also provides a scientific exploration of thermal radiation directionality Essential data support. Infrared multi-angle optical remote sensing provides an effective means for the quantitative inversion of thermal infrared remote sensing data, which is an important direction of development. Whether it is for engineering applications or for scientific research, infrared multi-angle spatial optical remote sensing and its applications Very important meaning.