摘要
以宜昌地区为研究目标,采用比值植被指数和差值环境植被指数两种提取方法,分别提取植被信息并进行比较。通过两幅影像间的像素差值来获取变化区域范围,进行变化监测研究。实验结果表明:比值植被指数和差值植被指数在算法结果方面存在不同的侧重点,植被变化区域锁定利于进一步的信息提取以及分析利用。
In this paper, we regard Yi Chang as the main study object, mainly analysis and comparison of RVI, DVI, two commonly used vegetation index model, and we study the change detection by getting the changed area through the pixel-value differencing between the two images. After comparing the two different vegetation index models, we conclude that the two kinds of algorithm results of different emphasis. According to the experiment results, we can quickly find out the changes of region vegetation in order to do some further analyze.
出处
《交通科技与经济》
2014年第4期117-120,共4页
Technology & Economy in Areas of Communications
基金
2013年国家级大学生科研项目资助(201310486063)
关键词
植被信息
指数变化
检测
遥感图像
vegetation index
change
detection
remote sensing image