Spatio-temporal target identification method of high-range resolution radar
A spatio-temporal method for target identification of high-range resolution radar is proposed. The hidden Markov model (HMM) technique is used as the classification algorithm, making classification decisions based on a spatio-temporal sequence of radar range profiles. The effectiveness of the method...
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Veröffentlicht in: | Pattern recognition 2000, Vol.33 (1), p.1-7 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | A spatio-temporal method for target identification of high-range resolution radar is proposed. The hidden Markov model (HMM) technique is used as the classification algorithm, making classification decisions based on a spatio-temporal sequence of radar range profiles. The effectiveness of the method is investigated in identification experiments using extensive data sets of real C-band inverse synthetic aperture radar (ISAR) range profiles of three different aircrafts. Identification accuracy of 93.01% is obtained for sequences of range profiles generated over a large aspect angle. |
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ISSN: | 0031-3203 1873-5142 |
DOI: | 10.1016/S0031-3203(98)00052-1 |