Title :
Characterization and recognition of radar targets using multiscale edges
Author_Institution :
Dept. of Electr. Eng., Lafayette Coll., Easton, PA, USA
Abstract :
A method for characterizing radar signatures using the wavelet transform is developed based on the principle of scattering centers. Scattering features represented as multiscale edges can be identified based on their Lipshitz regularity coefficients. The extracted features are directly related to target geometry and can be used for target identification. The denoising algorithm developed by S. Mallet el al. (IEE Trans vol. PAMI-14, no.7, p.710-32, July 1992) was also implemented, and the extracted wavelet-based features were used for target classification. The target analysis and recognition technique was tested using experimentally measured radar signals.<>
Keywords :
feature extraction; radar theory; wavelet transforms; IEE Trans; Lipshitz regularity coefficients; denoising algorithm; multiscale edges; radar signatures; recognition of radar targets; scattering centers; target classification; wavelet transform;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319112