【作者】 徐涵秋； 杜丽萍；

【Author】 XU Han-qiu Du Li-ping (College of Environment and Resources,Fuzhou University;Key Laboratory of Spatial Data Mining and Information Sharing,China’ s Ministry of Education,Fuzhou 350108,China)

【机构】 福州大学环境与资源学院数据挖掘与空间信息共享教育部重点实验室；

【摘要】 建筑用地的急剧增加和耕地资源的迅速减少,使得土地利用变化监测显得尤为重要。遥感作为监测土地利用变化的一种有效手段,已经得到日益广泛的应用。但是建筑用地由于其光谱的异质性,而难以用简单的方法将它们从遥感影像中准确地提取出来。遥感建筑用地指数(IBI)是通过三个专题指数波段构建的,因此可以有效地增强和提取遥感影像中的建筑用地信息。通过将IBI指数提取建筑用地的过程编成可自动执行的模块,并集成于大型的遥感商业软件中,可以大大提高建筑用地遥感信息增强和提取的效率和精度。更多还原

【Abstract】 The fast expansion of urban built-up lands and accompanied sharp decrease in farm lands have made timely monitoring of landuse change become more important than ever before.Although use of the remote sensing technique in the monitoring has become more popular,extraction of built-up land information from remote sensing imagery is still not an easy job due to its heterogeneous characteristic.The index-based built-up index(IBI) was created based on three existing thematic indices and therefore can effectively distinguish built-up land information from other landuse classes.Consequently,the built-up lands can be significantly enhanced and thus extracted from the IBI image.This technique has been programmed to form an easy-use module,which was further integrated in ER Mapper package.This allows to automatically perform the extraction procedure with high accuracy.更多还原