摘要
以武汉鲁巷快鸟影像为主要数据源,结合地形图及相关社会统计资料,利用多尺度影像分割与监督分类方法、植被指数方法相结合来提取城市绿地景观信息。结果表明:该方法交叉结合能大大地提高提取绿地景观信息的精度,更好地反映城市微观信息,满足现代城市发展的要求。
Based on the data source of Quick bird image of Wuhan and combined with relief map and correlation societal statistic datum, information of urban greenery features were extracted from NDVI methods and multi-resolution image segmentation with supervised classification methods. The research showed that cross link with above methods improved the precision of the extraction information of urban greenery features greatly, responded microcosmic information of the city and met the need of modern city development.
出处
《安徽农业科学》
CAS
北大核心
2007年第2期396-397,共2页
Journal of Anhui Agricultural Sciences
