Simulation of microwave scattering image recognition

Author

Gao, Xingbin ; Liu, Yongtan

Author_Institution

Dept. of Radio Eng., Harbin Inst. of Technol., China

fYear

1993

fDate

24-28 May 1993

Firstpage

233

Abstract

An ISAR object recognition system has been put forward and used for learning and recognizing microwave scattering images of two scale model aircrafts which are obtained in a microwave anechoic chamber. Mathematical models of microwave scattering images for aircrafts are advanced to investigate the system capacity of recognizing multiple objects and major factors which affect the system recognition rate. Some experimental results are presented, including the effect of feature selection on the recognition rate and its dependence on the number of the training samples

Keywords

aerospace simulation; aircraft; anechoic chambers; feature extraction; image recognition; learning (artificial intelligence); microwave imaging; ISAR object recognition; feature selection; mathematical models; microwave anechoic chamber; microwave scattering image recognition; recognition rate; scale model aircrafts; simulation; training samples; Aerospace engineering; Aircraft; Backscatter; Ear; Image recognition; Mathematical model; Object recognition; Optical scattering; Radar imaging; Radar scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1993. NAECON 1993., Proceedings of the IEEE 1993 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1295-3

Type

conf

DOI

10.1109/NAECON.1993.290921

Filename

290921