作者: Tinghua Ai , Xiaoqiang Cheng , Pengcheng Liu , Min Yang
DOI: 10.1016/J.COMPENVURBSYS.2013.07.002
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摘要: Abstract Shape cognition and representation play an important role in spatial analysis because shape contains some characteristics of geographic phenomena that can be mined to discover hidden principles. As a difficult problem, the problem GIS field has properties abstraction, indetermination symbolization. How use model represent our mental world how single number compute measure are interesting questions. In image processing domain, there many methods, but few proposals for corresponding vector data. This study aims build polygon offers Fourier transform-based method degree similarity. The procedure first represents boundary as periodic function, which is expanded descriptor series, then, it obtains set coefficients capture information. Through experiment on match query, shows identification template matching consistent with human cognition.