图像分类是高光谱遥感图像分析与应用的重要手段。
Classification is an important means for analysis and application of hyperspectral images.
然而在高光谱图像分类中，训练样本通常是有限的。
Unfortunately, in hyper-spectral image classification, training samples are usually limited.
文中采用模糊识别的绝对值指数法对高光谱图像进行识别分类，并对分类结果进行像元级的评价。
The article used absolute exponent as one of the methods of fuzzy diagnosis to identify and classify hyperspectral images, then evaluated precision of classification result based on pixel level.
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