Visual Attention Model Based Vehicle Target Detection in Synthetic Aperture Radar Images: A Novel Approach

著录项

• 来源
  《Cognitive computation》 |2015年第4期|434-444|共11页
• 作者

  Fei Gao; Ye Zhang; Jun Wang; Jinping Sun; Erfu Yang; Amir Hussain;

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• 作者单位

  1.School of Electronic and Information Engineering Beihang University Beijing China;

  1.School of Electronic and Information Engineering Beihang University Beijing China;

  1.School of Electronic and Information Engineering Beihang University Beijing China;

  1.School of Electronic and Information Engineering Beihang University Beijing China;

  2.Cognitive Signal-Image and Control Processing Research (COSIPRA) Laboratory School of Natural Sciences University of Stirling Stirling UK;

  2.Cognitive Signal-Image and Control Processing Research (COSIPRA) Laboratory School of Natural Sciences University of Stirling Stirling UK;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Human visual system (HVS); Synthetic aperture radar automatic target recognition (SAR-ATR); Visual attention model (VAM); Vehicle target detection;

  机译：人视觉系统（HVS）;合成孔径雷达自动目标识别（SAR-ATR）;视觉注意模型（VAM）;车辆目标检测;