Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which can be used to accurately classify diverse materials of interest. The increased dimensionality of such data makes it possible to significantly improve data information content but provides a challenge to conventional techniques (the so-called curse of dimensionality) for accurate analysis of HSIs.

中文翻译：

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高光谱影像的特征提取：从浅到深的演变（概述和工具箱）

高光谱图像 (HSI) 通过数百个（窄）光谱通道（也称为维度或波段）提供详细的光谱信息，可用于准确分类各种感兴趣的材料。此类数据的维数增加可以显着改善数据信息内容，但对传统技术（所谓的维数灾难）对 HSI 的准确分析提出了挑战。