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机构地区:[1]北京大学遥感与地理信息系统研究所,北京100871
出 处:《测绘科学》2016年第9期33-37,共5页Science of Surveying and Mapping
基 金:国家"863"计划项目(2012AA12A309)
摘 要:针对我国城市化进程不断加快,城市生态用地发生翻天覆地变化的状况下,如何及时准确地获取城市生态用地覆盖信息的问题,该文以北京部分城区高分一号遥感影像数据作为实验数据,提出一种面向对象的城市生态用地信息提取方法。通过分析城市生态用地5种地物类型的光谱信息和几何信息,建立相应的规则集以提取小尺寸遥感影像中生态用地信息;针对建筑物和裸土难以区分的问题,引入纹理信息来提高提取精度,并将含有纹理信息的规则集应用于北京市遥感影像。实验结果表明,该方法提取精度可以满足大面积的城市生态用地信息提取的需求。The urbanization process changes the urban ecological land. So it is very important to obtain urban ecological land cover information. In this paper, an object-oriented method for extracting urban ecological land information was proposed. A Gaofen-1 remotely sensed imagery covered part of Beijing City was taken as an experimental data. Based on analyzing the spectral information and geometry information of five kinds of urban ecological land, the corresponding sets of classification rules were established to ex- tract land-using information from small-scale images. As to the difficulty in distinguishing built-up land and bare lands, the texture information was introduced to improve the accuracy. Then, the rules established, including texture information, were applied to the whole Beijing image. The result showed that the accuracy of this method would be very high, indicating that this method could be used to extract large urban ecological land information from remotely sensed image.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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