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基于视觉显著性的RX舰船目标检测 被引量:3

Ship Detection Based on Saliency-Based Visual of RX Algorithms
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摘要 为了有效检测出海杂波明显情况下的舰船目标,提出了一种基于视觉显著性的目标检测算子。该算法在传统异常检测算子中引入了视觉显著性算法,引入视觉显著性算法可有效抑制背景像素,加强目标像素。实验结果表明,该算法在海况复杂的情况下,能有效检测出舰船目标,降低虚警率。 In this paper,a saliency-based visual of RX algorithms for optical satellite images is proposed in order to detect ship target accurately when sea clutter has a big influence.Visual saliency could repress surround pixels and enhance target pixels.The experimence results indicate that the method can detect ship target in complex scene precisely and reduce false alarm rate.
出处 《工业控制计算机》 2019年第2期86-88,共3页 Industrial Control Computer
关键词 目标检测 视觉显著性 异常检测 target detection visual saliency anomaly detection
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  • 1Gilles S. Robust description and matching of images [D]. Oxford of Britain.. University of Oxford, 1998. 被引量:1
  • 2Loupias E, Sebe N, Bres S, et al. Wavelet-based salient points for image retrieval [C]//2000 IEEE Conf Image Processing. INSA Lyon: IEEE press, 2000: 518-521. 被引量:1
  • 3Fauqueur J, Kingsbury N, Anderson R. Multiscale keypoint detection using the dual-Tree complex wavelet transform [C]//2006 IEEE Conf Image Processing. USA: IEEE Press, 2006:1625-1628. 被引量:1
  • 4Carson C, Belongie S, Greespan H, et al. Image segmentation using expectation maximization and its application to image querying [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(8) :1026-1038. 被引量:1
  • 5Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20(11) :1254-1259. 被引量:1
  • 6Yee H, Pattanaik S, Greenberg D P. Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments [J]. ACM Trans on Computer Graphics, 2001, 20(1) : 39-65. 被引量:1
  • 7Salah A A, Atpaydin E, Akarun L. A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(3):420-425. 被引量:1
  • 8Boccignone G, Ferraro M, Caelli T. Generalized spatio-chromatic diffusion [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24 (10) : 1298-1309. 被引量:1
  • 9Itti L. Automatic foveation for video compression using a neurobiological model of visual attention [J]. IEEE Transactions on Image Processing, 2004, 13(10) : 1304-1318. 被引量:1
  • 10Siagian C, Itti L. Rapid biologically-inspired scene classification using features shared with visual attention [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(2):300-312. 被引量:1

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