Wavelet preprocessing for high range resolution radar classification

We develop a wavelet denoising scheme to aid an automatic target recognition (ATR) system in recognizing aircraft from high range resolution radar (HRR) signatures. A template matching classification technique is used with templates formed from synthetically generated signatures. The goal of the cla...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2001-10, Vol.37 (4), p.1321-1332
Main Authors: Huether, B.M., Gustafson, S.C., Broussard, R.P.
Format: Article
Language:English
Subjects:
Air traffic control
Airborne radar
Aircraft
Aircraft components
Azimuth
Classification
Data visualization
Military aircraft
Noise reduction
Polynomials
Preprocessing
Radar
Radar scattering
Signatures
Systems engineering and theory
Target recognition
Wavelet
Weapons
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Summary:We develop a wavelet denoising scheme to aid an automatic target recognition (ATR) system in recognizing aircraft from high range resolution radar (HRR) signatures. A template matching classification technique is used with templates formed from synthetically generated signatures. The goal of the classification system is to achieve classification accuracy equivalent to that obtained with measured HRR signatures. Results suggest that a large portion of HRR signature content is nondiscriminatory. The wavelet denoising process removes the nondiscriminatory information, thereby leading to remarkable increases in classification accuracy. Results are shown for HRR signatures from six aircraft.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.976968