基于遥感图像矿山生态环境破坏信息边界提取方法研究

Research on the information extracting method for mine ecological environment destruction based on remote sensing images

多源遥感卫星数据在矿山环境监测中得到了广泛的应用,而高分辨率遥感影像数据结合应用数学形态学方法提取矿山活动信息的方法在提取矿山生态环境破坏范围的应用还很少见。所以,本文试图利用数学形态学的方法,结合Matlab应用程序平台,运用IKONS高分辨率遥感影像数据,采用多种传统图像处理算法与本文算法进行比较,并在野外数据的验证下,证实数学形态学方法应用于提取矿山活动信息的可行性,为矿山环境保护、监控和管理开拓了新的思路。

Multi-source remote sensing data has been widely used in mine environment monitoring,but extracting the mine ecological environment destruction information by the method combined high-resolution remote sensing images with mathematic morphology is seldom applied.This paper applied the methods of mathematical morphology combined with MATLAB application platform,high resolution IKONS data,detected various traditional image interpreting to compare with the way which is used in this paper,field measured data verify that it is very effective to apply the methods of mathematical morphology to special target extraction,which opens up a new way for mine environmental protection,supervision and management.