使用本模型的七个纹理参数作特征,在六类地物类型210个样本上作实验,由此设计的分类器的识别率为98.6%。
Seven texture parameters of this model are used for classifying six types of remote sense image over 210 samples. It's success percent is 98. 6 %.
使用本模型的七个纹理参数作特征,在六类地物类型210个样本上作实验,由此设计的分类器的识别率为98.6%。
Seven texture parameters of this model are used for classifying six types of remote sense image over 210 samples. It's success percent is 98. 6 %.
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