首页> 外文会议>Radar Sensor Technology XX >Synthetic aperture radar speckle reduction for circle mode SAR images
【24h】

Synthetic aperture radar speckle reduction for circle mode SAR images

机译:圆形孔径SAR图像的合成孔径雷达散斑减少

获取原文
获取原文并翻译 | 示例

摘要

Synthetic aperture radar (SAR) images contain a grainy pattern, called speckle, that is a consequence of a coherent imaging system. For fine resolution SAR images speckle can obscure subtle features and reduce visual appeal. Many speckle reduction methods result in a loss of image resolution and reduce visual appeal which can obscure subtle features. Another approach to maintain resolution while reducing speckle is to register and combine multiple images. For persistent surveillance applications it is more efficient for an airborne platform to fly circles around the particular area of interest. In these cases, it would be beneficial to combine multiple circle mode SAR images, however the image registration process is not so straightforward because the layover angle changes in each image. This paper develops a SAR image registration process for combining multiple circle mode SAR images to reduce speckle while preserving resolution. The registration first uses a feature matching algorithm for a coarse rotation and alignment, and then uses a fine registration and warp. Ku band SAR data from a circle mode SAR collection is used to show the effectiveness of the registration and enhanced visual appeal from multi-looking.
机译:合成孔径雷达(SAR)图像包含一个称为斑点的颗粒状图案,这是相干成像系统的结果。对于高分辨率SAR图像,斑点会掩盖细微的特征并降低视觉吸引力。许多减少斑点的方法会导致图像分辨率下降并降低视觉吸引力,而视觉吸引力会模糊细微特征。在减少斑点的同时保持分辨率的另一种方法是配准和组合多个图像。对于持续监视应用,机载平台在特定感兴趣区域周围绕圈飞行更为有效。在这些情况下,合并多个圆形模式SAR图像将是有益的,但是,由于每个图像的叠加角度都会发生变化,因此图像配准过程并不是那么简单。本文提出了一种SAR图像配准过程,该方法可以在保持分辨率的同时组合多个圆形SAR图像以减少斑点。配准首先使用特征匹配算法进行粗略的旋转和对齐,然后使用精细配准和扭曲。来自圆形模式SAR集合的Ku波段SAR数据用于显示配准的有效性,并增强多视点的视觉吸引力。

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