Aircraft Landing Image Intelligent Optimization Identification Modeling Research

Aircraft landing process in complex terrain environment,need according to the collected images to determine whether conform to the requirements of the landing.Aircraft landing site best choice,once landed complexity is higher,collection of images will produce large amounts of the number of training samples,the process of image registration,greatly increase the computation,which reduces the best landing site selection accuracy.Put forward an intelligent image recognition method to select the best landing sites.Using pseudo Zemike moment can carry on the accurate description to the landing place,the shape of the image,the characteristics of the shape of Procrustes analysis method is utilized to extract the best landing site,using the Rank of fusion decision final best landing site selection.Experimental results show that the improved algorithm for aircraft,the selection of optimal landing site can improve the accuracy of each terrain best landing site.