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1·The normal ways are Surpervised classification and Un-supervised classification.

常用的分类方法有监督分类和非监督分类。

2·It then describes the supervised classification technique based on the search coding method.

然后探讨了基于搜索编码的监督分类技术。

3·Supervised classification not only was efficient, but also could be ensure certain degree of accuracy.

监督分类不仅效率高，而且能够保证一定的精度要求。

4·Made sure of the parameters and thresholds of different objects with supervised and unsupervised classification.

确定研究区内不同地物采用监督分类和无监督分类时相应的参数和阈值。

5·The analysis of experimental data has proven that this algorithm has better effect on semi-supervised classification.

实验数据分析证明了该算法在进行半监督分类时具有比较好的效果。

6·The hybrid classification can improve the efficiency of process on supervised classification or unsupervised classification.

又可以提高纯粹的监督分类或非监督分类过程的精度。

7·Comprehensive analysis and comparisons are given for several typical algorithms in supervised and unsupervised classification.

针对几种典型的有监督及无监督分类算法，进行了深入的分析和比较。

8·The image of Nanchuan in 2000 was interpreted using a multi-extracting method combining supervised classification with non-supervised classification.

利用监督分类和非监督分类相结合的分层提取分类方法对南川市2000年遥感影像进行解译。

9·Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.

随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。

10·After supervised classification we extracted residential area and the grass of shelter belt based on knowledge discovery, finally we got the accuracy assessment reports.

基于知识对监督分类的结果做后处理，准确地提取了居民地和防护林草类型，并对分类结果进行了精度评估。