一种傅立叶描述子支持下的建筑群模式识别方法

A recognition method for building cluster pattern supported by Fourier shape descriptors

利用傅立叶形状描述子对建筑群的空间分布模式进行相似性分析和识别.首先以多边形的质点—中心角度排序构建建筑群的等价多边形;然后利用傅立叶频谱技术提取等价多边形的形状描述子作为建筑群的空间分布模式的特征向量;最后通过形状描述子的欧式距离度量建筑群间分布模式的相似性.对一定数量的建筑群进行了人工比对实验,实验结果与人工认知基本一致.

Using Fourier shape descriptors,similarity analysis was performed on the spatial distribution patterns of buildings.First,the equivalent polygons of the building complex are constructed in the order of the polygon s mass point-center angle.Then,the Fourier spectrum technique is used to extract the shape descriptor of the equivalent polygon as the feature vector of the spatial distribution pattern of the building cluster.Finally,the similarity of distribution patterns between buildings is measured by the Euclidean distance of shape descriptors.An artificial comparison experiment was conducted on a certain number of buildings,and the experimental results were basically consistent with the artificial cognition.