Analysis of remote sensing images of Chinese mountains using box-counting dimension method

摘要：

This paper proposes that box-counting dimension method be adopted for the analysis of remote sensing images of Chinese mountains. At first, remote sensing images of half bared and green Chinese mountains are segmented with a global image threshold value, then the binary images are calculated with Box-counting method. The authors find that the distributions of In(N(l)) and In(l) are almost stand on a line, which indicate that the fractal characters of the images are obvious, especially when the value of In(l) is greater than -2; the width of band of distributions of In(N(l)) and In (l) of green mountain images is wider than that of half-bared ones, but this has not influence of the value of FD of both kinds of Chinese mountains.

关键词： froctional dimension box-counting dimension remote sensing image mountain image segmentation

作者: CHEN Wei XU Jia-lin ZHOU Li

作者单位: College of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiang State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, X China University of Mining and Technology Press China University of Mining and Technology, Xuzhou, J

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 671-673

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）