...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images
【24h】

Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images

机译：船舶检测与高分辨率SAR图像中的超顶倍级渔民矢量

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this letter, we propose a novel ship detection method in high-resolution synthetic aperture radar (SAR) images. In the proposed method, the superpixel is utilized as the basic processing cell. We propose a superpixel-level Fisher vector to characterize the difference between the target and clutter superpixel due to the strong discriminating ability of the Fisher vector. Besides feature extraction, the threshold determination is another key step in the detection scheme. We determine the threshold in a semisupervised way, which combines the advantages of both supervised and unsupervised methods. Based on the threshold, the target superpixels are discriminated and we obtain the final detection result. Compared with existing methods, the proposed method shows robust performance under low signal-to-clutter ratio (SCR) conditions. Experiments performed on both synthetic data and a TerraSAR-X image demonstrate the effectiveness of the proposed method.
机译：在这封信中，我们提出了一种在高分辨率合成孔径雷达（SAR）图像中的新型船舶检测方法。在该方法中，超像素用作基本处理单元。我们提出了一个超级倍数级Fisher载体，以表征目标和杂波超像素之间的差异，由于Fisher载体的强辨别能力。除特征提取外，阈值确定是检测方案中的另一个关键步骤。我们以半熟的方式确定阈值，这相结合了监督和无监督方法的优势。基于阈值，鉴别目标超像素，我们获得最终的检测结果。与现有方法相比，所提出的方法在低信令到杂波比（SCR）条件下显示了鲁棒性能。在合成数据和地带X图像上进行的实验证明了该方法的有效性。

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