摘要
综合利用遥感、数字图像处理、地理信息系统等技术,采用基于亮度指数和垂直植被指数的变化向量矢量分析的直接变化监测方法,通过对原数据进行直方图调整,对2010年与2018年的TM影像相应波段数据进行概率分布匹配,使之具有相同的概率分布,并使其均值、标准差也基本一致;然后对这两幅不同时相的影像数据进行图像间的空间匹配,计算提取了亮度指数BI和垂直植被指数PVI,通过二者组成的二维变化向量再加上利用阈值法实现土地利用类型的分类与变化监测,并与该地区土地利用类型实际变化进行对比验证,得到较高的贴合度。
Comprehensive using of remote sensing,digital image processing,Geographic Information System and other technologies,a direct change monitoring method ofn the change vector analysis of the brightness and vertical vegetation index was presented.Through the adjustment of the original data by histogram,the 2010 and 2018 corresponding band data of the TM image were matched with probability distribution to make it have the same probability distribution and consistent mean and standard deviation.Then the spatial matchingimages of different time phases wasapplied to extract the brightness index BI and the vertical vegetation index PVI,with the two-dimensional change vector to realize the classification and change monitoring of land use types.The method was compared and verified in the actual change monitoring of land use types in the area of fit.
作者
胡贝
HU Bei(Zhongnan Survey and Design Institute Group Limited Company,Wuhan Hubei 430074,China)
出处
《北京测绘》
2021年第1期70-73,共4页
Beijing Surveying and Mapping
基金
江西省科技支撑项目(20161BBG70079)
江西省数字国土重点实验室开放研究基金(DLLJ201605)。
关键词
土地利用
亮度指数
垂直植被指数
动态变化监测
land use
brightness index
vertical vegetation index
dynamic change monitoring
