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《Science of Surveying and Mapping》 2010-05
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Mountain peaks extraction based on geomorphology cognitive and space segmentation

LUO Ming-liang①,TANG Guo-an②(①Land & Resources College,China West Normal University,Sichuan Nanchong 637002,China;②Key Laboratory of Virtual Geographic Environment(Nanjing Normal University),Ministry of Education,Nanjing 210046,China)  
Mountain peaks can be depicted by local morphological characteristics and quantitative parameters in three dimensions space.In this paper,a novel space segmentation method of mountain peaks extraction was proposed based on traditional geomorphology cognition.The key point was to find a reasonable geography space segmentation standard,which was corresponded to mountain classification criterions in geomorphologic field.After height-constraint geography space segmentation based on DEM,a regression function could be obtained,which depicted the relationship between height difference and spatial pattern of mountain peaks.Then mountain peaks could be extracted according to adaptive height-constraint geography space sub-division,with relatively high efficiency and acceptability.
【Fund】: 西华师范大学博士科研启动基金资助(08B069);; 国家自然科学基金(40930531)
【CateGory Index】: P931
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