A Method of Alluvial Fan Automatic Extraction from TM Image
YANG Shu-wen 1， LI Ming-yong 2， LIU Tao 1， SUN Jian-guo 1， DUAN Huan-e 1
1.School of Mathematics， Physics & Software Engineering， Lanzhou Jiaotong University， Lanzhou 730070， China； 2.Faculty of Earth Science of Geosciences University of China， Wuhan 430074， China
Abstract：In this paper，an automatic approach for alluvial fan extraction based on TM image is put forward. Firstly，the spectral feature differences between alluvial fan and other surface features were analyzed；then，in view of the facts that the band ratio between red band and near-infrared band can increase the differences between alluvial fan and other surface features and the decreasing rates of bright values of shadow in blue and green bands are significantly different，the authors built the model of alluvial fan extraction based on ratio and difference operations. Using this model in combination with the algorithm of automatic threshold extraction，the authors separated the alluvial fan from other surface features，and then applied the dilation and erosion filtering algorithm of mathematical morphology. An analysis and comparison of experimental results show that the proposed approach can extract the alluvial fan from hilly areas in South China with high precision. Moreover，the approach can effectively remove the interferential information such as shadow and vegetation.
杨树文, 李名勇, 刘涛, 孙建国, 段焕娥. 一种利用TM图像自动提取洪积扇的方法[J]. 国土资源遥感, 2011, 23(2): 65-69.
YANG Shu-Wen, LI Ming-Yong, LIU Tao, SUN Jian-Guo, DUAN Huan-E. A Method of Alluvial Fan Automatic Extraction from TM Image. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 65-69.
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2011, Vol. 23 
