The aurora image classfication is a very challenging topic, the classification methods relate to the means of observation and the captured data.
极光图像分类是一很有挑战性很强课题，极光分类方法往往与一定的观测手段与观测数据有关。
Experimental results show that this method is more effective than local search on identification and classfication of gas's infrared remote sensing data.
通过实例比较，说明本方法应用于大气遥感红外光谱数据的分类和识别时，是行之有效的。
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