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平滑度指数对光谱迭代平滑温度发射率分离算法精度的影响分析
引用本文:程洁,肖青,柳钦火,李小文. 平滑度指数对光谱迭代平滑温度发射率分离算法精度的影响分析[J]. 大气与环境光学学报, 2007, 2(5): 376-380
作者姓名:程洁  肖青  柳钦火  李小文
作者单位:中国科学院遥感应用研究所,北京师范大学,遥感科学国家重点实验室,北京,100101;中国科学院研究生院,北京,100039;中国科学院遥感应用研究所,北京师范大学,遥感科学国家重点实验室,北京,100101;中国科学院遥感应用研究所,北京师范大学,遥感科学国家重点实验室,北京,100101;北京师范大学,北京,100875
摘    要:光谱迭代平滑温度发射率分离算法是针对高光谱数据温度发射率分离的有效算法,该算法的关键之处在于引入了衡量地物发射率曲线平滑程度的平滑度指数,用这个指数来评价地物发射率曲线中的大气吸收线残留程度,进而得到地物的温度,最后计算地物的发射率.针对目前文献中定义的平滑度指数和平滑度指数可能的定义,利用MODIS UCSB光谱库中的157条发射率曲线产生模拟数据集,利用模拟数据分析了不同的平滑度指数对光谱迭代平滑温度发射率分离算法精度的影响,给出了最优平滑度指数.

关 键 词:平滑度指数  ISSTES  温度  发射率  热红外  遥感
文章编号:1673-6141(2007)05-0376-05
收稿时间:2007-04-11
修稿时间:2007-04-11

Effects of Smoothness Index on the Accuracy of Iterative Spectrally Smooth Temperature/Emissivity Separation Algorithm
CHENG Jie,XIAO Qing,LIU Qin-huo,LI Xiao-wen. Effects of Smoothness Index on the Accuracy of Iterative Spectrally Smooth Temperature/Emissivity Separation Algorithm[J]. Journal of Atmospheric and Environmental Optics, 2007, 2(5): 376-380
Authors:CHENG Jie  XIAO Qing  LIU Qin-huo  LI Xiao-wen
Affiliation:1 State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China; 2 Graduate School of Chinese Academy of Sciences, Beijing 100039, China; Abstract 3 Beijing Normal University, Beijing 100875, China
Abstract:Iterative spectrally smooth temperature/emissivity separation algorithm is an efficient algorithm designed for temperature and emissivity separation of hyperspectral data.The key point of this algorithm lies in the introduction of smoothness index used to evaluate the smoothness of emissivity curve,then the residual of atmospheric absorption lines is evaluated using the defined smoothness index,which is the basis of the object temperature optimization.The optimal object temperature corresponds to the minimum smoothness index. With the derived optimal object temperature,emissivity can be calculated easily.In order to evaluate the effects of smoothness index on the accuracy of ISSTES algorithm,157 emissivity curves from MODIS UCSB library are selected to generate simulated dataset.Based on the simulated calculation,an optimal smoothness index is given.
Keywords:smoothness index  ISSTES  temperature  emissivity  thermal infrared  remote sensing
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