CAJ | 학술논문

卫星云图是研究天气系统演变规律的重要信息,云层内容从卫星云图中提取出来可以有助于云图分析,减少陆地和海洋信息的干扰.为此采用了模糊C均值聚类算法(FCM)进行云图聚类,该算法具有计算效率高,过程简单的优点,但对初始聚类中心敏感,容易陷入局部最优解.针对此问题,本文将全局性良好的粒子群优化算法(PSO)引入 FCM 聚类算法,克服了初始聚类中心对全局收敛性的影响.同时,将阴影集理论与该混合算法结合起来,去除聚类过程中的异常值,提高算法的效率.通过红外云图聚类对比实验得出,改进的FCM算法与传统的FCM算法相比,聚类结果图的类间距离增大,类内距离减小,聚类质量有所提高.
위성운도시연구천기계통연변규률적중요신식,운층내용종위성운도중제취출래가이유조우운도분석,감소륙지화해양신식적간우.위차채용료모호C균치취류산법(FCM)진행운도취류,해산법구유계산효솔고,과정간단적우점,단대초시취류중심민감,용역함입국부최우해.침대차문제,본문장전국성량호적입자군우화산법(PSO)인입 FCM 취류산법,극복료초시취류중심대전국수렴성적영향.동시,장음영집이론여해혼합산법결합기래,거제취류과정중적이상치,제고산법적효솔.통과홍외운도취류대비실험득출,개진적FCM산법여전통적FCM산법상비,취류결과도적류간거리증대,류내거리감소,취류질량유소제고.
Nephograms can be used to analyze the distribution of the cloud system in a large area, and to study the evolvement rules of weather system. We can analyze the nephograms without the interference of terrestrial and marine information by extract the clouds content from the nephograms. So fuzzy C-means(FCM) algorithm is used for satellite image clustering. The method is easy to understand, but it always converges to the local infinitesimal values. So PSO was introduced to FCM algorithm, which can find a globally optimal fuzzy segmentation so as to avoid the sensitivities of basic FCM algorithm to initial values. In order to improve the speed of the algorithm, the shadow sets algorithm was combined with FCM, which can remove boundary values and abnormal values. The results show that the clustering effect of the newly-proposed algorithm is better than the one of the basic FCM.