Title :
Research on Ship Target Auto-Recognition Technique for Low Resolution Radar
Author :
Junping, Sun ; Yi, Dai
Author_Institution :
East China Res. Inst. of Electron. Eng., Hefei
Abstract :
An auto-recognition method of ship with low resolution radar is presented in the paper using multi transform technique. The radar target echo is sampled and preprocessed to suppress clutter first. Then characteristic vectors of the target are extracted with FFT transform, Mellin transform, wavelet transform and frame correlation processing. Experiments are carried out for the proposed method with three kinds of real radar echo data of ship target, the results indicate that the characteristics vector extracted by the proposed method in this paper is valuable for target classification
Keywords :
correlation methods; fast Fourier transforms; feature extraction; marine radar; radar clutter; radar resolution; radar target recognition; ships; wavelet transforms; FFT; Mellin transform; clutter suppression; echo; fast Fourier transform; frame correlation processing; low resolution radar; multi transform technique; ship target auto-recognition technique; target classification; vector extraction; wavelet transform; Bismuth; Clutter; Data mining; Feature extraction; Fourier transforms; Marine vehicles; Radar; Signal to noise ratio; Target recognition; Wavelet transforms; Correlation; FFT; Feature vector; Mellin Transform; Wavelet Transform;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343325