With regard to the problem that original feature in image classification is mass and redundancy, a new image feature selection method was presented.
针对目前图像识别中原始特征数量大、不相关特征多以及冗余等现象，提出了一种图像特征选择方法。
Selection of optimal feature combinations is one of the key procedures for remotely sensed image classification and information abstraction.
最佳特征影像组合的选择是决定遥感影像信息提取与影像分类效果的关键环节之一。
It is shown that association rules can be adapted to feature selection which are used in image analysis and they can automatically identify the most confident feature.
关联规则的方法非常适用于图像分析中的特征选择，可以自动地选出可信度较高的特征。
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