摘要
利用遥感技术能够实现快速提取城市绿地信息,准确地计算出城市绿地面积及覆盖情况等。本文以广州市TM遥感影像为数据源,进行一系列预处理,对监督分类和先计算NDVI再采用非监督分类这两种提取方法进行比较分析。结果表明,先计算NDVI再采用非监督分类法精度较高,说明该方法是一种有效的绿地信息提取方法。
Remote sensing technology can be used to quickly extract urban green space information and accurately calculate the area and coverage of urban green space.TM remote sensing image of Guangzhou city was taken as the data source,and a series of prepro-cessing was carried out to compare and analyze the two extraction methods of supervised classification and NDVI calculation before un-supervised classification.The results show that the accuracy of NDVI classification is higher than that of unsupervised classification,indicating that this method is an effective method to extract green space information.
作者
邢玮
刘金然
徐少雄
XING Wei;LIU Jinran;XU Shaoxiong(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China;College of Geography and Environment,Shandong Normal University,Ji'nan 250358,China)
出处
《测绘与空间地理信息》
2020年第6期123-125,共3页
Geomatics & Spatial Information Technology
关键词
城市绿地
NDVI
非监督分类
urban green space
NDVI
unsupervised classification
