New Algorithm for Image Target Recognition Based on Fractal Feature Fusion

作     者：潘秀琴 侯朝桢 苏利敏 PAN Xiu-qin;HOU Chao-zhen;SU Li-min

作者机构：北京理工大学自动控制系北京100081 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2002年第11卷第4期

页      码：342-345页

摘      要：By combining fractal theory with D-S evidence theory, an algorithm based on the fusion of multi-fractal features is presented. Fractal features are extracted, and basic probability assignment function is designed. Comparison and simulation are performed on the new algorithm, the old algorithm based on single feature and the algorithm based on neural network. Results of the comparison and simulation illustrate that the new algorithm is feasible and valid.

主 题 词：fractal feature fusion target recognition 

学科分类：0810[工学-土木类] 08[工学] 080203[080203] 0805[工学-能源动力学] 0802[工学-机械学] 0812[工学-测绘类] 

核心收录：

D　O　I：10.3969/j.issn.1004-0579.2002.04.002

馆 藏 号：203940078...