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作 者:许超[1] 何静[1] 何小弟 王安浩 黄利斌[3]
机构地区:[1]江苏江达建设工程有限公司,无锡214061 [2]扬州大学 [3]江苏省林业科学研究院
出 处:《东北林业大学学报》2010年第4期128-131,共4页Journal of Northeast Forestry University
基 金:国家"十一五"林业科技支撑项目(2006BAD03A1702);江苏省科技支撑(社会发展)项目(BE2008656)
摘 要:以正在高速发展的扬州市为例,利用不同时相的TM数据、CBERS-02的CCD数据和中国资源卫星二号星的全色数据,研究了城市主要地物信息快速准确提取的原理和方法,采用土壤调节植被指数(ISAV)与其它波段组合的方法对城市绿地信息进行提取;利用非监督分类法提取城市硬质建筑表面信息,决策树分类法提取城市水体信息,多重滤波处理对线性地物提取方面的优势提取道路信息。完成主要地物信息的提取后,对各项提取指标进行动态变化识别及分析,并结合扬州市社会经济指标寻求城市扩展的驱动因子。The principles and methods for extracting land use/land cover information quickly and accurately were studied by using the TM data of different time phases, the CCD data of CBERS-02, and the panchromatic data of "China Resource-2 Satellite" taking Yangzhou City as an example. The information of urban green spaces was extracted by Soil Adjusted Vegetation Index (SAVI) in combination with other bands, that of urban building hard surface by non-supervised classification methods, that of urban water bodies by decision tree classification methods, and that of roads by the multi-filtering process. And then dynamic changes of all the indexes were distinguished and analyzed, and the driving factors of urban expansion were sought out combining with the social economic factors of Yangzhou.
分 类 号:S127[农业科学—农业基础科学]
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