电子学报2012，Vol.40Issue(9)：1729-1734,6.DOI:10.3969/j.issn.0372-2112.2012.09.005
多维向量场辐散辐合结构特征自适应匹配方法
Adaptive Template Matching Method for Convergence and Divergence Characteristics of Multi-Dimensional Vector Fields
摘要
Abstract
Taking advantage of the multidimensional unified and simplicity expression of movement characteristics of geometric algebra, an adaptive template matching method for convergence and divergence structure of multi-dimensional vector fields was proposed. The optimal rotor between the original vector field and the standard template is established based on SVD (Singular Value Decomposition). The data adaptive divergence-convergence template generation method is then constructed based on the structure consistency of rotor rotation, and the classification of geometric structure of the vector field based on the rotor rotation angle is proposed.Finally,the adaptive template matching method is constructed based on the geometric convolution.These methods are verified with the wind field of North America. The results suggest that our method can effectively resolve the structural features of the vector field with different dimensions and can do structure-based classification of vector fields.关键词
向量场/结构特征/模板匹配/Clifford卷积Key words
vector fields/structure character/template match/Clifford convolution分类
信息技术与安全科学引用本文复制引用
罗文,袁林旺,俞肇元,易琳,闾国年..多维向量场辐散辐合结构特征自适应匹配方法[J].电子学报,2012,40(9):1729-1734,6.基金项目
国家自然科学基金项目(No.41171300,No.40730527) （No.41171300,No.40730527）
江苏省高校优势学科建设工程项目 （）
