动态调整权重的光谱匹配测度法分类的研究
Spectral Simil Arity Scale Based on Dynamic Wighting Adjustment Method
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摘要: 提出了动态调整权重的光谱匹配测度的分类方法,它可以根据不同影像、不同分类目的等自适应调整光谱距离和光谱形状测度在分类中的权重,从而达到正确分类的目的。通过对高光谱影像分类的试验,验证了该方法的正确性。Abstract: It is the core to choose a suitable measure in the classification method based on spectral matching.The spectral similarity scale based on dynamic weight adjustment method,which proposed in this paper,can adaptively adjust the weight of the distance measure and the shape measure according to different conditions,so as to obtain the correct classification.
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