Abstract：Research purposes: The alluvial fan has its unique remote sensing characteristics of the color，texture and brightness in the remote sensing image． As the alluvial fan area is the soft soil distribution area，it is one of the important influence factors of the project． The remote sensing interpretation is an important work of using the image to determine the distribution of alluvial fan for guiding the selection of project location． The traditional alluvial fan interpretation regards the visual interpretation as the dominant fact with the features of low speed，long time and much work to be done and it can not meet the demand of the rapid development of the railway and highway． Based on the analysis and research on the topographical characteristics and the remote sensing image characteristics of the alluvial fan，the model for automatic acquiring alluvial fan information from TM images is established to rapidly acquire the alluvial fan from the images with algorithm for guiding the track alignment．
Research conclusions: Based on the remote sensing mechanism of the alluvial fan，the model for remotely automatic acquiring the integrated alluvial fan information on the lluvial fan，the vegetation index and topographical data is established to rapidly and effectively acquire the alluvial fan information from the sensing images and realize automation of remote sensing interpretation of the alluvial fan．
冯光胜. 基于TM影像自动获取冲洪积扇信息模型研究[J]. 铁道工程学报, 2012, 29(3): 1-5.
FENG Guang － sheng. Research on Model for Automatic Acquiring Alluvial Fan Information From TM Images. 铁道工程学报, 2012, 29(3): 1-5.
Li Mingji，He Tonghui． The Contact Discussion of Piedmont Diluvial Fan of Small Towns in Urbanization Process and the Regional Environment Change ［J］．Journal of Mountain Science，2003( 2) : 173 － 179．
Cui Weiguo，Mu Guijin． Remote Sensing Research on alluvial fan evolution of the Manasi River ［J］．Geography and Geo － Information Science，2006 ( 3 ) : 39 － 42．
Xu Jianchun，Zhao Yingshi，Liu Zhenhua． Research on Ecological Environment Change of Middle and Western Inner － Mongolia Region Using RS and GIS ［J］．Journal of Remote Sensing，2002( 2) : 142 － 150．
2012, Vol. 29 
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