Abstract：Through the information of forestlands obtained from remote sensing pictures of 692 land patches, this paper has studied the forestlands classification in the method of self-organizing neural tree model under the support of GIS. The results show that this method of classification has so many advantages, such as speed, accuracy and tolerence.
全志杰, 李元科, 吕恒. 应用自组织神经树模型进行森林立地分类研究[J]. 国土资源遥感, 1997, 9(3): 46-50.
Quan Zhijie, Li Yuanke, Lu Heng . USING THE MODEL OF SELF-ORGANIZED NEURAL TREE TO THE CLASSIFICATION OF FORESTLANDS. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(3): 46-50.
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1997, Vol. 9 
