Hyperspectral image data analysis
Hyperspectral image data analysis
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DOI：
10.1109/79.974718
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发表时间：
2002-01-01
影响因子：
14.9
通讯作者：
Landgrebe, D
中科院分区：
文献类型：
--
作者：
Landgrebe, D
天基遥感的基本基础是，可以从地球表面产生的电磁能场，特别是从该场的空间、光谱和时间变化中获取信息。与其关注图像可能最能传达的空间变化，为什么不继续研究如何使用光谱变化。这个想法是扩大像素的尺寸，直到它包含从光谱响应角度来看具有特征的区域，以便区分表面覆盖物。本文包含一个图像空间表示的示例，使用三个波段来模拟华盛顿特区购物中心上空机载高光谱数据集的彩色红外照片。
The fundamental basis for space-based remote sensing is that information is potentially available from the electromagnetic energy field arising from the Earth's surface and, in particular, from the spatial, spectral, and temporal variations in that field. Rather than focusing on the spatial variations, which imagery perhaps best conveys, why not move on to look at how the spectral variations might be used. The idea was to enlarge the size of a pixel until it includes an area that is characteristic from a spectral response standpoint for the surface cover to be discriminated. The article includes an example of an image space representation, using three bands to simulate a color IR photograph of an airborne hyperspectral data set over the Washington, DC, mall.