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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sun Junping Dai Yi |
| Copyright Year | 2006 |
| Description | Author affiliation: East China Res. Inst. of Electron. Eng., Hefei (Sun Junping; Dai Yi) |
| 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 |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 3664117 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343325 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Marine vehicles Radar Wavelet transforms Data mining Fourier transforms Feature extraction Target recognition Clutter Bismuth Signal to noise ratio Feature vector FFT Mellin Transform Wavelet Transform Correlation |
| Content Type | Text |
| Resource Type | Article |
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