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基于视觉注意的遥感图像分析方法 被引量：10

An Approach to the Remote Sensing Image Analysis Based on Visual Attention
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摘要 该文根据人类视觉系统的生理结构与认知特点，提出了一个基于自底向上视觉注意的遥感图像分析模型，并在此基础上开发出了一种新的遥感图像分析方法。该方法在一定程度上具各了类似于人类视觉系统的选择性加工能力。将其应用于多种类型的真实遥感图像，获得了较为满意的实验结果。 In this paper, according to the physiologic structure and cognitive characteristic of the human vision system, a model of the remote sensing image analysis based on bottom-up visual attention is brought up. Then, based on the model, a novel approach to analyzing remote sensing image comes into being. It has the partial ability of visual selectivity in the human vision system. This approach is applied to the real remote sensing images, and the exciting outputs show it is effective.
作者 张鹏 王润生
机构地区 国防科学技术大学ATR国家重点实验室
出处 《电子与信息学报》 EI CSCD 北大核心 2005年第12期1855-1860,共6页 Journal of Electronics & Information Technology
关键词 遥感 图像分析 视觉注意 注意焦点 感受野 Remote sensing, Image analysis, Visual attention, Focus of attention, Receptive field
分类号 TP751 [自动化与计算机技术—检测技术与自动化装置]
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参考文献13

  • 1Koch C, Ullman S. Shifts in selective visual attention: towards the underlying neural circuitry. Human Neurobiology, 1985, 4(4):219 - 227.
  • 2Bourque E, Dudek G, Ciaravola P. Robotic sightseeing: a method for automatically creating virtual environments. In: Proceedings of the IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998:318 - 3191.
  • 3Reisfeld D, Constrained phase congruency: simultaneous detection of interest points and of their scales. In: Proceedings of the Computer Vision and Pattern Recognition, San Francisco,USA, 1996:562 - 567.
  • 4Kadir T, Brady M. Saliency, scale and image description,International Journal of Computer Vision, 2001, 45(2): 83 - 105.
  • 5Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254 - 1259.
  • 6Salah A A, Alpaydin E, Akarun L. A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition. IEEE Trans.on Pattern Analysis and Machine Intelligence, 2002, 24(3):420 - 425.
  • 7Boccignone G, Ferraro M, Caelli T. Generalized spatio-chromatic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, 24(12): 1298 - 1309.
  • 8Privitera C M, Stark L W. Algorithms for defining visual regions-of-interest: comparison with eye fixations. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(9):970 - 982.
  • 9Treisman A. Preattentive processing in vision. Computer Vision,Graphics, and Image Processing, 1985, 31 (2): 156 - 177.
  • 10Braun J, Sagi D. Vision outside the focus of attention. Perception & Psychophysics, 1990, 48(1): 45 - 58.

二级参考文献13

  • 1Bourque E, Dudek G, Ciaravola P. Robotic sightseeing: A method for automatically creating virtual environments. In: Giralt G, ed.Proc. of the IEEE Conf. on Robotics and Automation. Leuven: IEEE Press, 1998. 3186～3191.
  • 2Kadir T, Brady M. Saliency, scale and image description. International Journal of Computer Vision, 2001,45(2):83-105.
  • 3Gesu VD, Valenti C, Strinati L. Local operators to detect regions of interest. Pattern Recognition Letters, 1997,18(11-13):1077-1081.
  • 4Wai WYK, Tsotsos JK. Directing attention to onset and offset of image events for eye-head movement control. In: Huang T, ed.Proc. of the Int'l Association for Pattern Recognition Workshop on Visual Behaviors. Seattle: IEEE Press, 1994. 79～84.
  • 5Stentiford FWM. An evolutionary programming approach to the simulation of visual attention. In: Kim JH, ed. Proc. of the IEEE Congress on Evolutionary Computation. Seoul: IEEE Press, 2001. 851-858.
  • 6Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1998,20(11):1254-1259.
  • 7Itti L, Koch C. Computational modeling of visual attention. Nature Reviews Neuroscience, 2001,2(3):194-230.
  • 8Itti L, Koch C. Feature combination strategies for saliency-based visual attention systems. Journal of Electronic Imaging,2001,10(1):161-169.
  • 9Yee H, Pattanaik SN, Greenberg DP. Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments. ACM Trans. on Computer Graphics, 2001,20(1):39-65.
  • 10Boccignone G, Ferraro M, Caelli T. Generalized spatio-chromatic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002,24(10): 1298-1309.

共引文献52

同被引文献121

引证文献10

二级引证文献83

电子与信息学报
2005年 第12期

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