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

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Wang, Yanhong^1 ; Li, Denghui^2 ; Wang, Yuying^3

Guangxi Key Lab of Wireless Wideband Communication and Signal Processing, Guilin, China^1

Institute of Information Technology of Guilin University of Electronic Technology, Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology) GUET, Guilin, China^2

School of Computer Science and Information Security of GUET, China^3

关键词: K-means;    Key technologies;    Positioning system;    Remote sensing images;    Segmented images;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072008/pdf
DOI  :  10.1088/1757-899X/490/7/072008

学科分类：材料科学（综合）

来源: IOP

【 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.