传统统计模式识别方法进行遥感影像分类时要求数据服从正态分布且难以加入地理辅助数据。
The traditional statistical classifier is suitable in making RS image classification in normal distribution and unsuitable in doing with the data in discrete distribution, such as the geographic data.
针对医生提供的数据，在样本服从正态分布的假设下，进行了频数分析、配对检验和方差分析。
According to data provided by doctor, under the assumption that sample is normal, performed frequency analysis, pair test and variance analysis.
归一化以后的数据服从同一正态分布，可以减少或消除不等精度的干扰，突出图象中的有用信息。
The normalized data will exhibit the same normal distribution, reduce or eliminate the interference of unequal precision, and highlight the useful information in images.
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