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| Automatic extraction of channels and valleys based on BP neural network |
| Chen Nan1,Wang Qinmin1,Tang Guoan2,Zhao Yuanwei3 |
| 1.Key Lab for Data Mining and Information sharing of Ministry,Spatial Information Research Center,Fuzhou University,350002,Fuzhou;2.Jiangsu Provincial Key Laboratory of Geoinformatics,Nanjing Normal University,210097,Nanjing; 3.Baqiao Branch of Xi'an Environment Protection Bureau,710038,Xi'an: China |
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Abstract The process of extracting channels and valleys is transfered to the process of determining the physiognomy type according to terrain factors.In Loess hill and gully area of Suide,Shannxi Province,DEM with spatial resolution at 5m according to the map scaled at 1∶10?000 is taken as the research object,and BP neural network is used to analyze the interrelationship between six kinds of terrain factors and the terrain of channels and valleys.The study indicated that precipitation accumulation is the most important terrain factor in determining the terrain of channels and valleys.The sample testing areas are established in which four kinds of terrain factors are made use of and BP neural network and employed to extract channels and valleys automatically.This method has passed the test in sample areas.
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Received: 10 December 2005
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