Space Targets Classification and Recognition Based on Affine Invariant Moments

摘要：

　　An affine transformation model is established for ground-based photoelectric imaging and detecting systems.This model shows that affine transform consists of five basic transformations,which are translation,scale,slant and rotation transformations.Six affine invariant moments are given with geometrical moments.Furthermore.affine invariant moment vectors of training data are calculated for four-class simulated space target images.For different viewpoint angle target images,the affine invariant moments are calculated.Simulation experiments are performed for space targets classification and recognition through their eigenvectots comparing.Simulated results show that the method of target images classification recognition based on affine invariant moments is effective.

关键词： Space targets Affine transform model Affine invariant moments Classification Recognition

作者: Wang Feng Meng Fankun Ma Debao

作者单位: Institute of Information Science & Technology of Zhengzhou Zhengzhou 450002, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1480-1483

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）