Realization of remote sensing image segmentation based on K-means clustering

摘要：

　　Segmentation of remote sensing image is the key technology of positioning system.Firstly,we transform the remote sensing image from RGB pace to Lab space.Then,three centres are iterated by using K-means algorithm.Finally,in order to eliminate the influence,the closed operation of mathematical morphology is used to correct the segmented image.The results show that it can segment the road from the remote sensing image in lab mode,by using K-means clustering algorithm.Moreover,Lab mode is more suitable for k-mean than other modes.

作者: Yanhong Wang Denghui Li Yuying Wang

作者单位: Guangxi Key Lab of Wireless Wideband Communication &Signal Processing,Guilin,China Institute Of Information Technology of Guilin University of Electronic Technology Key Laboratory of School of Computer Science and Information Security of GUET

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-7

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）