Title :
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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.689
