Title :
A new method for automatic target recognition
Author :
Jing, Guo ; Xin, Guo ; Pengfei, Luo
Author_Institution :
Dept. of Electron. Eng., Nat. Univ. of Defense Technol., Hunan, China
Abstract :
In this paper, a new method is proposed by combining Mellin transform with bispectrum estimation algorithm to obtain robust radar airplane features with respect to noise contamination, changes in target position, minor changes in the target physical structure and so on. Furthermore, the nearest-neighbor (NN) rule is used for classification of radar targets. The results of computer simulation show that this approach has better noise-proofability and higher recognition rate
Keywords :
Monte Carlo methods; digital simulation; feature extraction; image recognition; parameter estimation; radar target recognition; simulation; spectral analysis; transforms; Mellin transform; automatic target recognition; bispectrum estimation algorithm; classification; computer simulation; nearest-neighbor rule; noise contamination; noise-proofability; radar targets; recognition rate; robust radar airplane features; target physical structure; target position; Airplanes; Computer vision; Light scattering; Optical scattering; Phase estimation; Radar measurements; Radar scattering; Signal detection; Spectral analysis; Target recognition;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.622770
