Shape recognition is one of the important contents of map spatial cognition, and neural network combined with spatial cognitive experiment and its effective shape feature vector extraction are effective ways to improve shape recognition. In this paper, a neural network building-polygon shape recognizer is constructed, which integrates the Fourier descriptors of macro shape parameters such as roundness, eccentricity and rectangularity as shape feature vectors. Firstly, the Fourier shape descriptors, circularity, eccentricity and rectangularity p...
