Infrared and Laser Engineering, Volume. 46, Issue 2, 226003(2017)

Ship detection method based on bionic vision

Hu Xiaoguang1、*, Gao Shuhui1, Li Hui2, Zhong Cheng3, and Cheng Chengqi4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(8)

    [1] [1] Crisp D J. The state-of-the-art in ship detection in synthetic aperture radar imagery[R]: Defence Science and Technology Organisation Salisbury Australia Info Sciences Lab, 2004.

    [3] [3] He Sihua, Yang Shaoqing, Shi Aiguo, et al. Image segmentation algorithm based on spatiotemporal chaos [J]. Infrared and Laser Engineering, 2009, 38(1): 144-148. (in Chinese)

    [4] [4] He Sihua, Yang Shaoqing, Shao Xiaofang, et al. Ship target detection on the sea surface based on natural measure feature of image block[J]. Infrared and Laser Engineering, 2011, 40(9): 1812-1817. (in Chinese)

    [5] [5] Zhu Changren, Zhou Hui, Wang Runsheng, et al. A novel hierarchical method of ship detection from spaceborne optical image based on shape and texture features[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(9): 3446-3456.

    [6] [6] Koch Itti L C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254-1259.

    [7] [7] Callaway E M. Neural mechanisms for the generation of visual complex cells[J]. Neuron, 2001, 32(3): 378-380.

    [8] [8] Lampl I, Ferster D, Poggio T, et al. Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex[J]. Journal of Neurophysiology, 2004. 92(5): 2704-2713.

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    Hu Xiaoguang, Gao Shuhui, Li Hui, Zhong Cheng, Cheng Chengqi. Ship detection method based on bionic vision[J]. Infrared and Laser Engineering, 2017, 46(2): 226003

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    Paper Information

    Category: 信息获取与辨识

    Received: Jun. 20, 2016

    Accepted: Jul. 20, 2016

    Published Online: Mar. 31, 2017

    The Author Email: Xiaoguang Hu (Michael.hu.07@Foxmail.com)

    DOI:10.3788/irla201746.0226003

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