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相位谱的光学遥感图像舰船目标检测 被引量:5

Ship Detection in Optical Remote-Sensing Images Based on Phase Spectrum
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摘要 考虑到舰船检测问题为在平稳变化的场景提取稀疏小目标,引入了基于相位谱显著性的方法进行舰船目标检测.实验结果表明,此方法在计算速度上优于双参CFAR和Gabor滤波器方法,在检测性能上与Gabor滤波器方法相近,优于双参CFAR,能满足实际舰船检测系统的应用需求. Considering ship detection as extracting sparse small targets in smooth background, a new ship target detection method based on phase spectrum is introduced. Experimental results show that the proposed algorithm gains better computing speed compared with dual parameters CFAR and Gabor filter algorithms, the performances of the proposed algorithm and Gabor filter algorithm are similar, both better than dual parameters CFAR algorithm. The proposed algorithm could satisfy the need of ship detection system.
出处 《沈阳大学学报(自然科学版)》 CAS 2015年第5期369-375,共7页 Journal of Shenyang University:Natural Science
基金 国家自然科学基金资助项目(61405041) 黑龙江省自然科学基金重点资助项目(ZD201216) 中国博士后科学基金资助项目(2014M551221)
关键词 舰船目标检测 光学遥感图像 显著性 相位谱 ship target detection optical remote-sensing image saliency phase spectrum
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参考文献15

  • 1Eldhuset K. An Automatic Ship and Ship Wake Detection System for Spaceborne SAR Images in Coastal Regions [J]: IEEE Transactions on Geoseience and Remote Sensing, 1996,34(4) : 1010 - 1019.
  • 2Lu Y, Yu Y J, Huang S J. CFAR Detection for K- Distributed Multi-Looked SAR Image[C]//The Record of the IEEE 2000 International Radar Conference, 07 - 12 May, 2000, Alexandria, VA:284-288.
  • 3南杰,张红,王超,吴樊,张波.长度归一化扫描的合成孔径雷达图像船舶尾迹恒虚警率检测[J].中国图象图形学报,2013,18(9):1176-1183. 被引量:3
  • 4Itti L, Koch C, Niebur E. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998,20(11) : 1254 - 1259.
  • 5赵春晖,金文超.基于视觉注意的光学遥感图像舰船目标检测方法[J].黑龙江大学自然科学学报,2012,29(6):817-821. 被引量:6
  • 6田明辉,万寿红,岳丽华.遥感图像中复杂海面背景下的海上舰船检测[J].小型微型计算机系统,2008,29(11):2162-2166. 被引量:23
  • 7施鹏,庄连生,敖欢欢,俞能海.基于视觉感知机理的舰船目标检测[J].大气与环境光学学报,2010,5(5):373-379. 被引量:7
  • 8Guo C L, Ma Q, Zhang L M. Spati:>Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform[C]//IEEE Conference on Computer Vision and Pattern Recognition, 23- 28 June, 2008, Anchorage, AK:1 - 8.
  • 9Achanta R, Hemami S, Estrada F, et al. Frequency- Tuned Salient Region Detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 20 - 25 June, 2009, Miami, FL: 1597 - 1604.
  • 10Hou X D, Zhang L Q. Saliency Detection: A Spectral Residual Approach[C]//IEEE Conference on Computer Vision and Pattern Recognition, 17 - 22 June, 2007, Minneapolis, MN: 1 - 8.

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