Three decades of hyperspectral remote sensing of the Earth: A personal view
Three decades of hyperspectral remote sensing of the Earth: A personal view
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DOI：
10.1016/j.rse.2007.12.014
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发表时间：
2009-09-01
影响因子：
13.5
通讯作者：
Goetz, Alexander F. H.
中科院分区：
文献类型：
--
作者：
Goetz, Alexander F. H.
成像光谱法或现在称为高光谱成像，具有悠久的发展历史，并衡量了科学界的接受。成像光谱法开发的动力来自1970年代的田间光谱测量，以支持LandSAT-1数据分析。在整个1980年代和1990年代，进度需要在电子，计算和软件方面进行发展，直到地球观测界的较大部分将采用该技术。硬件开发是在1983年从空降成像光谱仪（AIS）开始的，在NASA/JPL进行。机载可见/红外成像光谱仪（AVIRIS）于1987年随之而来，并已证明至今已证明是高质量的高品质高光谱提供者科学界的数据。剥削该数据源的其他关键要素是软件，主要是ENVI，以及诸如分析光谱设备公司产生的野外光谱仪。此外，大气校正算法还可以降低传感器对光谱反射的传感器辐射，该数量的数量在所有遥感应用程序中都需要。这些应用涵盖了土地和水的地球观察中的学科范围。在全球基础上对高光谱成像的进一步开发等待着高性能成像光谱仪和更多具有足够资源的研究人员，以利用数据中固有的大量信息内容。 （c）2009 Elsevier Inc.保留所有权利。
Imaging spectrometry, or hyperspectral imaging as it is now called, has had a long history of development and measured acceptance by the scientific community. The impetus for the development of imaging spectrometry came in the 1970's from field spectral measurements in support of Landsat-1 data analysis. Progress required developments in electronics, computing and software throughout the 1980's and into the 1990's before a larger segment of the Earth observation community would embrace the technique. The hardware development took place at NASA/JPL beginning with the Airborne Imaging Spectrometer (AIS) in 1983. The airborne visible/infrared imaging spectrometer (AVIRIS) followed in 1987 and has proved to this day to be the prime provider of high-quality hyperspectral data for the scientific community. Other critical elements for the exploitation of this data source have been software, primarily ENVI, and field spectrometers such as those produced by Analytical Spectral Devices Inc. In addition, atmospheric correction algorithms have made it possible to reduce sensor radiance to spectral reflectance, the quantity required in all remote sensing applications. The applications cover the gambit of disciplines in Earth observations of the land and water. The further exploitation of hyperspectral imaging on a global basis awaits the launch of a high performance imaging spectrometer and more researchers with sufficient resources to take advantage of the vast information content inherent in the data. (C) 2009 Elsevier Inc. All rights reserved.