Cloud Extraction of Satellite Image Using Fuzzy C-Means Clustering Approach

摘要：

　　We notice that each kind of image has its own feature and these features can recognize by human brain easily.The difference between person and computer is that person can notice the major interest object of a picture and ignore others.We propose a new segmentation method of satellite images based on fuzzy c-means clustering (FCM) to extract an object,cloud.Our method only promise extracts the cloud from a satellite image clearly just like the weather expert only notice the cloud.We extract R,G,and B components of a true color satellite image and convert a true color satellite image to a 256 gray image,from one image get four images.The ANOVA algorithm was used to analysis the cloud images and its results shown that only the discrepancy between the group of “R-components and the group of “Gray images are not significance.In other word,we can use the “R-components to extract the cloud from a satellite image,instead of the converted gray image,and then the operation time could be shortened.

关键词： Satellite image Image segmentation Fuzzy c-Means Fuzzy clustering

作者: Xiaolan LI Yunchen TIAN Kezhi XING Guoqiang MA

作者单位: School of Computer and Information Engineering, Tianjin Agricultural University, Tianjin 300384,Chin Aquariculture School, Tianjin Agricultural University, Tianjin 300384,China

会议类型: 国际会议

会议名称: 2015 International Conference on Mechanical, Electronics and Information Technology Engineering(ICMITE2015)(2015机械、电子与信息技术工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 289-292

在线出版日期: 2015-03-21（万方平台首次上网日期，不代表论文的发表时间）