利用SRTM-DEM和TM数据提取平原山地信息的研究  

Research on key technology of the plain and mountain extraction based on SRTM-DEM and RS

作　　者：龙恩[1] 程维明[1] 肖飞[2] 刘海江[1] 陈建军[1] 郎玲玲[1] 

机构地区：[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室 [2]中国科学院测量与地球物理研究所,武汉430077

出　　处：《测绘科学》2008年第2期53-56,共4页Science of Surveying and Mapping

基　　金：国家自然科学青年基金(40401048);国家自然科学杰出青年基金(40225004)资助

摘　　要：研究表明,基于SRTM-DEM派生的坡度模型进行平原、山地的自动提取具有很大的实效性,但坡度分级方法的选择及阈值的设定对提取结果具有较大影响;在此基础上,对区域植被、土壤、水文、地质等多地理要素信息及制图综合知识的综合运用,可大大提高基于知识的遥感专家修正精度;二者结合,初步实现了基于SRTM-DEM与遥感的平原、山地自动半自动提取,改进了传统手工和野外调查为主的提取方法,实现了地貌信息的数字化、定位化及定量化,为全国1∶100万数字地貌信息提取与集成奠定了基础。The results show that the slope model which is derived from SRTM-DEM is quite effective in the extraction of plain and mountain, but the choosing of the slope classing method and the definition of threshold have important effect on the extraction results. In addition, the information and knowledge of vegetation, soil, land use and geological and mapping can improve the precision of experts＇ modification. Combining the above two methods, the method of automatic/semi-automatic extraction of plain and mountain based on SRTM-DEM and TM is primary realized. This method not only can improve the work efficiency and reduce the labor intensity of the researchers, but also realizes the digital, position location and quantity of landform information.

关 键 词：SRTM-DEM/遥感 平原/山地提取 关键技术 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]