Optical remote sensing relies on the use of panchromatic, multispectral and hyperspectral images with a high spectral resolution and spatial resolution to distinguish the observed scene.
光学遥感依赖于利用多光谱和超光谱图像具有较高的光谱分辨率和空间分辨率来对所观测场景进行辨别。
The combined use of principal component transform and IHS color transform provides a powerful information extraction tool for multispectral data processing.
主成分变换和彩色变换相结合，为多波段数据信息提取提供了一种新的方法。
A framework was proposed for the selection of wavelength bands for multispectral sensors by use of hyperspectral reference data.
利用超光谱数据对多光谱传感器的波段选择提出了一个框架。
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