分级模糊聚类算法及其在遥感积雪识别中的应用

A HIERARCHICAL FUZZY CLUSTERING ALGORITHM ON SNOW RECOGNITION

本文提出了一种分级实现的模糊聚类算法。CFCM算法具有良好的分类精度,但其初值的选取却是非常困难的。本文所给算法第一级采用改进的SFCM算法,其结果作为第二级聚类的初值;第二级采用CFCM算法细分。在遥感积雪识别中的实验结果表明,这种算法改善了分类精度,而且由于初值选取较为合理,并不降低分类速度。

A hierarchical fuzzy clustering algorithm is presented in this paper. As CFCM algorithm provides good classification resolution but the selecting of initial vectors is of great difficulty and blindness. At the first step, an improved SFCM algorithm is adopted for coarse segmentation and its result serves as initial vector for the fine segmentation by CFCM at the second step. Applying this algorithm to snow recognition shows it can yield very satisfying performance in partition resolution while does not reduce computation speed due to a reasonable initial vector.