计算机遥感分类识别原理，是利用地物的光谱能量特征差异性和结构特征差异性来识别地物信息。

The principle of computer-RS classification recognizing is using the difference of feature of structure and spectrum energy to recognize information of surface features.

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为此，提出了一种新的溶洞检测方法——累计能量差法，即利用道内或道间地震反射能量上的差异进行溶洞检测。

Therefore, a new cavern detection technique called accumulation energy difference method was proposed, which USES the seismic reflection energy difference in trace or between traces to detect caves.

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该方法基于干扰和目标能量和起伏特性差异确定提取特征因子，再利用RBF神经网络方法进行分类。

In this method, the feature factor is identified and extracted through the energy of the jamming object and differences in the undulating property, and then is classified with the help of RBF.

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