利用QuickBird影像提取城市不透水率的研究  

Study on Reducing Shadow Impact in the Extraction Impervious Surface Coverage of Urban Based on QuickBird Image

作　　者：王俊松[1] 杨逢乐[2] 贺彬[2] 赵磊[2] 

机构地区：[1]云南师范大学旅游与地理科学学院,昆明650031 [2]云南省环境科学研究院,昆明650034

出　　处：《遥感信息》2008年第3期69-73,共5页Remote Sensing Information

基　　金：国家高科技研究发展计划(863)资助项目(No.2005AA60101001)

摘　　要：不透水率作为一个重要的城市生态指数常出现于城市水文、城市水质面源污染以及城市植被制图等研究中。基于QuickBird影像在我国城市中心城区尺度上提取不透水率,将主成分分析的PC2、PC3和RVI进行假彩色合成,增强绿地、裸地、阴影下绿地等透水信息与背景信息的反差,利用传统的监督分类得到了高精度(89.6%)的绿地、裸地等城市透水地表信息。该方法对阴影下绿地信息的提取效果明显,用户精度达到84.78%,很大程度上消除了阴影对解译精度的影响。Impervious surface coverage has frequently appeared in research reports of urban hydrology, water pollution and urban vegetation mapping, etc. as an important ecological indicator of the city. Based on QuickBird image, this paper explored imperviousness of land patches at the scale of urban built-up area in Chinese cities. The authors used the PCA（Principal Components Analysis） to get the second and third weight and the results of the RVI（Ratio Vegetation Index） to realize the combination of the wave band, which could enhance the contrast between the previousness and background information. The study also used the traditional method to realize the supervised classification of the images, whose accuracy could exceed 89.6%. At the same time the extract effect of greenbelt is obvious under the shadow, whose user accuracy could exceed 84.78 %. This method eliminate infection of shadow about interpret accuracy on a certain extent.

关 键 词：城市不透水率 QUICKBIRD影像 主成分分析 监督分类 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]