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《Journal of Geo-Information Science》 2016-11
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Automatic Recognition of Fold Landform Types Based on Spatial Structure Pattern Matching

CHEN Ying;LI Anbo;YAO Mengmeng;LU Guonian;School of Geography Science, Nanjing Normal University;Key Laboratory of Virtual Geographic Environment(Nanjing Normal University) , Ministry of Education;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application;State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province);  
The automatic recognition of fold structure is one of the bases of tectonic interpretation, geomorphology classification and three-dimensional geological modeling. At present, most of the automatic recognition methods used for landform classification are based on the regular statistical unit. These methods, although effectively extract the characteristic landform by using image or terrain data, cannot recognize the tectonic landforms which combined the structural feature and topographical feature. As one of the most general tectonic landforms, fold landform has featured a symmetric repetitive spatial structure, which can be used to recognize the fold. To realize the automatic recognition of fold landform types, this research provides a method based on the spatial structure pattern matching. This method focuses on building scene models of fold structures by using Attributed Relational Graph(ARG) and identifying the fold landform types by defining different spatial structure patterns through the formal grammar. The implementation process is presented as follows. Firstly, extract the long strip scene that may contain the fold structure according to the principles used in choosing fold cores and section lines. Secondly, build and simplify the spatial structure model of the long strip scene by following the ARG approach. Thirdly, convert the ARG model into sentences, and classify the fold types with respect to different grammatical inferences of the sentences. If the sentences cannot be inferred by Anticline Grammar and Syncline Grammar, then it is not a fold. Fourthly, determine the fold landform types by checking whether the terrain containing the fold is a mountain or a valley.The result shows that the proposed method is capable for automatically recognizing the fold landform types in the northern Lushan area. It basically solves the problem in the auto-recognizing of fold landform types for mountainous area, and can be a supplementary reference to the traditional methods used for landform classification.
【Fund】: 国家自然科学基金项目(41371374、41471175);; 国家“863“重大项目子课题(2008AA121604);; 江苏高校优势学科建设工程资助项目(PAPD)
【CateGory Index】: P931;P208
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