热红外高光谱测量中非目标因素的影响

发布时间：2018-05-04 21:49

本文选题：野外测量 + 热红外光谱　；参考：《遥感信息》2017年05期

【摘要】：野外热红外高光谱测量对环境背景辐射的扰动极为敏感,目前尚缺少对干扰因素的系统分析研究。为了对各类非目标影响因素进行量化评价,探讨了测量中的误差来源和构成,并采用基于标准光谱库的数值模拟方法开展了定量/半定量分析。结果表明,非目标因素主要有以下5类:发射率/温度分离算法选取、下行辐射波动、肤温变化、仪器热噪声以及平滑度指数类型,其中分离算法对发射率分离精度影响最大,黑体拟合法误差可达0.06,而平滑度指数影响最小,介于0.001~0.003 5之间;各因素影响程度大小依次为:算法选取下行辐射波动肤温变化仪器热噪声平滑度指数。该文给出了提高测量精度的操作建议,以期为野外热红外高光谱研究提供有益借鉴。
[Abstract]:The field thermal infrared hyperspectral measurement is very sensitive to the disturbance of environmental background radiation. In order to quantitatively evaluate various non-target influencing factors, the source and composition of errors in measurement are discussed, and the quantitative / semi-quantitative analysis is carried out by numerical simulation method based on standard spectral library. The results show that there are five kinds of non-target factors: emissivity / temperature separation algorithm selection, downlink radiation fluctuation, skin temperature change, instrument thermal noise and smoothness index type, among which the separation algorithm has the greatest influence on the emissivity separation accuracy. The error of blackbody fitting method can reach 0.06, while the smoothness index is the least, which is between 0.001 and 0.0035. The order of influence is as follows: the algorithm selects the thermal noise smoothness index of downlink radiation fluctuation skin-temperature variation instrument. In order to provide useful reference for the field thermal infrared hyperspectral study, some suggestions for improving the measurement accuracy are given in this paper.
【作者单位】：广西农业科学院农业科技信息研究所;中国科学院遥感与数字地球研究所遥感科学国家重点实验室;中国科学院大学;浙江大学农业遥感与信息技术应用研究所;
【基金】：国家高技术研究发展计划项目(2015AA123901) 高分专项(Y30B06-9001-13/15-01) 国家自然科学基金(41271367、41301473、41301438);国家自然科学基金重点基金(41631179)
【分类号】：S15;TP722.5

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