Intelligent Target Recognition Based on Data Fusion

Author

Zhang Tie-zhu ; Jiang Hong

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

1311

Lastpage

1314

Abstract

In order to improve the performance and reliability of automatic target recognition system, an intelligent target recognition method based on the data fusion of radar and infrared sensor is proposed. For infrared sensor, the image target recognition algorithm based on wavelet moment and BP neural network is proposed; for radar sensor, the target recognition method based on fuzzy reasoning is proposed. Finally, Dempster-Shafer theory is used to combine the two basic probability assignment functions and achieve the data fusion of radar and infrared sensor. Simulation experiments indicate that the recognition results by data fusion of two sensors is better than that by single sensor.

Keywords

backpropagation; fuzzy reasoning; image recognition; infrared imaging; probability; radar computing; radar imaging; sensor fusion; target tracking; wavelet transforms; BP neural network; Dempster-Shafer theory; automatic target recognition system; data fusion; fuzzy reasoning; image target recognition algorithm; infrared sensor; intelligent target recognition; probability assignment function; radar sensor; wavelet moment; Fuzzy reasoning; Infrared image sensors; Infrared sensors; Intelligent sensors; Intelligent systems; Neural networks; Radar imaging; Radar theory; Sensor fusion; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2009 1st International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4909-5

Type

conf

DOI

10.1109/ICISE.2009.689

Filename

5454529