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.
首先采用自适应波段选择方法对高光谱遥感图像进行谱间压缩。
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
验证了高光谱遥感图像较强的谱间相关性和较弱的空间相关性。
Prove hyperspectral remote sensing image relatively stronger spectrum dependence and relatively weaker space dependence.
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