发射率光谱由在部分植被地区获得的TIMS数据得出

T. Matsunaga
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引用次数: 4

摘要

采用一种新的温度-发射率分离算法对部分植被区热红外多光谱扫描仪(TIMS)数据进行处理。该算法基于热红外光谱发射率变化与平均值之间的经验关系。模拟混合数据分析表明,该算法可以减小混合比变化带来的误差。利用该算法从TIMS数据中获得了火山岩和森林的发射光谱,并与已发表的实验室光谱进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emissivity spectra derived from TIMS data acquired over a partially vegetated area
TIMS (Thermal Infrared Multispectral Scanner) data of a partially vegetated area were processed using a new temperature-emissivity separation algorithm. This algorithm is based on an empirical relationship between the mean and the variation of spectral emissivity in thermal infrared region. Analysis using simulated mixture data showed that the algorithm can reduce errors caused by varying mixing ratio. Emissivity spectra of volcanic rock and forest were derived from TIMS data using this algorithm and compared with published laboratory spectra.<>
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