首页> 外文OA文献 >A region-based target detection method for SAR images (SAR görüntüleri için bölge tabanlı bir hedef tespit yöntemi)
【2h】

A region-based target detection method for SAR images (SAR görüntüleri için bölge tabanlı bir hedef tespit yöntemi)

机译:SAR图像的基于区域的目标检测方法(SAR图像的基于区域的目标检测方法)

摘要

Automatic target detection methods for synthetic aperture radar (SAR) images are sensitive to image resolution, size of the target to be detected, clutter complexity, and speckle noise level. A robust automatic target detection method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based automatic target detection method which can find a target and its heterogeneous clutter independent of the image resolution and the target size has been developed. The proposed method provides efficient memory usage and low computational complexity.
机译:合成孔径雷达(SAR)图像的自动目标检测方法对图像分辨率,要检测的目标尺寸,杂波复杂度和斑点噪声水平很敏感。强大的自动目标检测方法需要对上述因素不那么敏感。在这项研究中,开发了一种基于恒定虚警率(CFAR)的自动目标检测方法,该方法可以独立于图像分辨率和目标尺寸找到目标及其异构杂波。所提出的方法提供有效的存储器使用和低的计算复杂度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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