An Autonomous Feature Detection Method for Slow-Moving Small Target on Sea Surface Based on Kernelized Contextual Bandit

Currently, the contextual bandit (CB) has been applied in the field of slow-moving small target detection on sea surface, to solve the performance decline problem of feature detection method under less coherent pulse number. However, the existing method only gives a brief description on its implemen...

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Veröffentlicht in:	IEEE sensors journal 2024-10, Vol.24 (19), p.30541-30559
Hauptverfasser:	Wu, Xijie, Liu, Tianpeng, Liu, Yongxiang, Liu, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clutter Contextual bandit (CB) Detectors Estimation False alarms Feature detection Feature extraction Radar Radar detection Real time sea clutter Sensors slow-moving small target Target detection
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