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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >SEBASS hyperspectral thermal infrared data: surface emissivity measurement and mineral mapping
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SEBASS hyperspectral thermal infrared data: surface emissivity measurement and mineral mapping

机译:SEBASS高光谱热红外数据:表面发射率测量和矿物标测

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This study focuses on mapping surface minerals using a new hyperspectral thermal infrared (TIR) sensor: the spatially enhanced broadband array spectrograph system (SEBASS). SEBASS measures radiance in 128 contiguous spectral channels in the 7.5- to 13.5-mum region with a ground spatial resolution of 2 in. In September 1999, three SEBASS flight lines were acquired over Virginia City and Steamboat Springs, Nevada. At-sensor data were corrected for atmospheric effects using an empirical method that derives the atmospheric characteristics from the scene itself, rather than relying on a predicted model. The apparent surface radiance data were reduced to surface emissivity using an emissivity normalization technique to remove the effects of temperature. Mineral maps were created with a pixel classification routine based on matching instrument- and laboratory-measured emissivity spectra, similar to methods used for other hyperspectral data sets (e.g. AVIRIS). Linear mixtures of library spectra match SEBASS spectra reasonably well, and silicate and sulfate minerals mapped remotely, agree with the dominant minerals identified with laboratory X-ray powder diffraction and spectroscopic analyses of field samples. Though improvements in instrument calibration, atmospheric correction, and information extraction would improve the ability to map more pixels, these hyperspectral TIR data nevertheless show significant advancement over multispectral thermal imaging by mapping surface materials and lithologic units with subtle spectral differences in mineralogy. (C) 2003 Published by Elsevier Science Inc. [References: 57]
机译:这项研究的重点是使用新的高光谱热红外(TIR)传感器:空间增强型宽带阵列光谱仪(SEBASS)绘制地表矿物。 SEBASS测量7.5至13.5毫米区域中128个连续光谱通道的辐射度,地面空间分辨率为2 in。1999年9月,获得了三条SEBASS飞行线,覆盖了弗吉尼亚市和内华达州的斯廷博特斯普林斯。使用经验方法对传感器数据进行了大气效应校正,该经验方法从场景本身得出大气特征,而不是依赖于预测模型。使用发射率归一化技术将视在表面辐射率数据降低为表面发射率,以消除温度的影响。矿物图是根据匹配的仪器和实验室测量的发射率光谱使用像素分类程序创建的,类似于用于其他高光谱数据集(例如AVIRIS)的方法。库光谱的线性混合物与SEBASS光谱相当匹配,并且远程映射的硅酸盐和硫酸盐矿物与实验室X射线粉末衍射和现场样品的光谱分析确定的主要矿物一致。尽管仪器校准,大气校正和信息提取方面的改进将提高绘制更多像素的能力,但是这些高光谱TIR数据通过绘制具有矿物学细微光谱差异的表面材料和岩性单元,在多光谱热成像方面显示出显着进步。 (C)2003年由Elsevier Science Inc.出版。[参考:57]

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