hyperspectral remote sensing image classification 高光谱遥感影像分类
rar-hyperspectral remote sensing image proces 高光谱遥感图像处理软件包
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
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。
Prove hyperspectral remote sensing image relatively stronger spectrum dependence and relatively weaker space dependence.
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。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
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