基于TM影像自动获取冲洪积扇信息模型研究

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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．

Key words： alluvial fan TM image index of alluvial fan engineering geological survey remote sensing automatic acquiring model

Received: 20 December 2011

PACS:

TP753

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	FENG Guang － sheng

Cite this article:

FENG Guang － sheng. Research on Model for Automatic Acquiring Alluvial Fan Information From TM Images[J]. 铁道工程学报, 2012, 29(3): 1-5.

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http://tdgcxb.crec.cn/EN/ OR http://tdgcxb.crec.cn/EN/Y2012/V29/I3/1

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