• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International symposium on multispectral image processing and pattern recognition >Infrared maritime target detection using a probabilistic single Gaussian model of sea clutter in Fourier domain
【24h】

Infrared maritime target detection using a probabilistic single Gaussian model of sea clutter in Fourier domain

机译：使用傅立叶域海杂波概率单高斯模型进行红外海事目标检测

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

For ship targets detection in cluttered infrared image sequences, a robust detection method, based on the probabilistic single Gaussian model of sea background in Fourier domain, is put forward. The amplitude spectrum sequences at each frequency point of the pure seawater images in Fourier domain, being more stable than the gray value sequences of each background pixel in the spatial domain, are regarded as a Gaussian model. Next, a probability weighted matrix is built based on the stability of the pure seawater's total energy spectrum in the row direction, to make the Gaussian model more accurate. Then, the foreground frequency points are separated from the background frequency points by the model. Finally, the false-alarm points are removed utilizing ships' shape features. The performance of the proposed method is tested by visual and quantitative comparisons with others.
机译：针对杂波红外图像序列中的舰船目标检测，提出了一种基于傅立叶域海背景概率单高斯模型的鲁棒检测方法。在傅立叶域中的纯海水图像的每个频率点处的振幅谱序列，比在空间域中的每个背景像素的灰度值序列更稳定，被视为高斯模型。接下来，基于纯海水在行方向上的总能谱的稳定性，建立概率加权矩阵，以使高斯模型更准确。然后，通过模型将前景频率点与背景频率点分离。最后，利用舰船的形状特征消除了虚假警报点。通过视觉和定量比较与其他方法来测试所提出方法的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号