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《Progress in Geography》 2008-01
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The Progress on Automatic Basin Streamline Extracting & Classifying Methods Based on DEM

SUN Chongliang1,2, WANG Juanle1 (1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101; 2. Graduate University of the Chinese Academy of Sciences, Beijing 100049)  
With rapid development of the modern information technology, it is not a problem to extract waterlines automatically based on DEM products. However, there exist many problems to be solved whether on the current automatic water streamline extracting methods or on the current classifying methods based on DEM. The singularity of the classifying parameters leads to a lower precision of the water-streamline classifying order result, as well as a lack of interknit between waterlines. On this background, this paper analyzes the progresses on the study of automatic basin streamline extracting classifying methods. At the same time, this paper concludes the current problems with the waterline auto-extracting methods based on DEM, such as the problems for disposal of the sink and plateau areas, as well as the problems with the waterline auto-classifying methods, such as mis-match between the newly produced results and the traditional maps. Last, the paper puts up the idea of constructing the waterline auto-classifying model based on FBGIS in order to solve the problems of current waterline auto-classifying methods.
【Fund】: 国家科技基础条件平台建设项目(2005DKA32300)
【CateGory Index】: P332
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