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基于改进Hough变换的海面微弱目标检测 被引量:21

Small-target Detection in Sea Clutter Based on Improved Hough Transform
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摘要 海杂波背景下的微弱目标检测是一个具有挑战性的难题。该文提出一种应用改进Hough变换检测海面微弱目标的方法。对海面的距离-时间像进行时间向二次采样,并平滑得到的子图,对平滑图应用边缘检测然后进行Hough变换,在Hough域通过两级门限检测出微弱目标。该方法不依赖海杂波模型,具有通用性,可以在没有海面先验信息的情况下检测微弱目标。实测海杂波数据的处理结果验证了该方法的正确性和实用性。 Small target detection in sea clutter is a challenging problem.This paper proposes a novel approach to solve it.Edge detection and improved Hough transform are applied to a set of range profiles,which are resulted from re-sampling and smoothing the range-time profiles in time direction.Using the two-step masks,the moving small target can be figured out in Hough domain.This approach has a wide application due to the independence on the model of sea clutter,and can be used to detect target without prior knowledge of the ocean and environment conditions.Real sea clutter data is used to illustrate the effectiveness and the practicability of the novel approach.
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第4期923-928,共6页 Journal of Electronics & Information Technology
基金 国家部委基金 国家自然科学基金(60872137) 长江学者创新团队发展计划(IRT0954)资助课题
关键词 微弱目标检测 距离-时间像 二次采样 HOUGH变换 Small target detection Range-time profiles Re-sampling Hough transform
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  • 1陈双平,郑浩然,刘金霞,童庆,王煦法.离散稳恒信号的多重分形谱的计算及其应用[J].电子与信息学报,2007,29(5):1054-1057. 被引量:2
  • 2Zhao Min, Fan Yin-hai, and Lv Jin. Chaotic time series gray correlation local forecasting method based on fractal theory[C]. 2007 3rd International Workshop on Signal Design and Its Applications in Communications, 2007: 39-43.
  • 3Lin C P, Sano M, and Sekine M. Detection of radar targets by means of fractal error[J]. IEICE Transactions on Communications, 1997, E80-B(11): 1741-1748.
  • 4Gupta A and Joshi S D. Variable step-size LMS algorithm for fractal signals[J]. IEEE Transactions on Signal Processing, 2008, 56(4): 1411-1419.
  • 5Gupta A and Joshi S D. Characterization of discrete-time fractional brownian motion[C]. IEEE Annual India Conference, New Delhi, India, 2006: 1-6.
  • 6Drosopoulos A. Description of the OHGR database[R]. Tech. Note No. 94-14, Defence Research Establishment Ottawa, 1994: 1-30.
  • 7Hu Jing, Tung Wen-Wen, and Gao Jian-bo, et al.. Detection of low observable targets within sea clutter by structure function based multifractal analysis[J]. IEEE Transactions on Antennas and Propagation, 2006, 54(1): 136-143.
  • 8Hsieh Chin-Yuan, Fung A K, and Nesti G, et al.. A further study of the IEM surface scattering model[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(4); 901-908.
  • 9Leung H, Dubash N, and Xie N. Detection of small objects in clutter using a GA-RBF neural network[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 98-118.
  • 10Lin C P, Sano M, and Sayama S, et al.. Detection of radar targets embedded in sea ice and sea clutter using fractals, wavelets, and neural networks[J]. IEICE Transactions on Communications, 2000, E83-B(9): 1916-1929.

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