摘要
以国家体育场(鸟巢)工程建设为例,研究基于面向对象的重大工程土地利用变化信息提取技术,以及建设工程对周边环境土地利用类型变化的影响。选取鸟巢2001年(动工之前)和2005年(建设中期)两期高分辨率遥感图像,运用多尺度影像分割和面向对象分类方法,进行土地利用信息提取及其变化对比分析。结果表明:利用面向对象方法取得了理想的土地利用分类结果,两期影像的分类精度分别达到93.23%和94.55%,Kappa系数分别为0.9158和0.9332;鸟巢的建设对周边土地利用类型影响较大,尤其是植被、道路和耕地的变化显著,草地和道路明显增加,耕地明显减少。
Exemplified by the National Stadium, this paper probes into the influence of the construction of key projects on the periphery areas and the technology of land - cover change based on the object - oriented method. Selecting two images of the National Stadium in 2001 （before the construction） and in 2005 （the intermediate stage of the construction） and using muhi - scale segmentation and object - oriented classification method, the authors carried out the land use information extraction and a comparative analysis of the land use change information resulting form the National Stadium construction. The results show that： （ 1 ） the ideal land cover classification results were obtained by using the object -oriented method, with the overall accuracy being 93.23% and 94.55% and the coefficient of Kappa being 0. 915 8 and 0. 933 2, which make up the foundation for rapid and accurate acquisition of land cover change information; （2） the construetion of the National Stadium had a significant influenee on periphery areas, as shown by the obvious change of vegetation, roads and cultivated land. Grasses and roads increased obviously while the cultivated land was reduced remarkably.
出处
《国土资源遥感》
CSCD
2009年第4期86-89,95,共5页
Remote Sensing for Land & Resources
基金
国家科技支撑计划项目(编号:2007BAH15B02
2006BAC08B02)
北京市教育委员会科技计划重点项目(编号:09224010028)共同资助
关键词
多尺度分割
面向对象分类
变化检测
重大工程
国家体育场(鸟巢)
Multi-scale segmentation
Object-oriented classification
Change detection
The construction of key projects
National studium
