首页> 外文会议>SPIE Conference on Multispectral Image Processing and Pattern Recognition >Segmentation of oil spills in SAR images by using discriminant cuts
【24h】

Segmentation of oil spills in SAR images by using discriminant cuts

机译:使用判别削减,SAR图像中的油溢出的分割

获取原文

摘要

The discriminant cut is used to segment the oil spills in synthetic aperture radar (SAR) images. The proposed approach is a region-based one, which is able to capture and utilize spatial information in SAR images. The real SAR images, i.e. ALOS-1 PALSAR and Sentinel-1 SAR images were collected and used to validate the accuracy of the proposed approach for oil spill segmentation in SAR images. The accuracy of the proposed approach is higher than that of the fuzzy C-means classification method.
机译:判别切割用于将漏油雷达(SAR)图像中的漏油泄漏分段。所提出的方法是基于区域的,能够在SAR图像中捕获和利用空间信息。收集真实的SAR图像,即Alos-1 Palsar和Sentinel-1 SAR图像并用于验证SAR图像中提出的漏油分割方法的准确性。所提出的方法的准确性高于模糊C型分类方法的准确性。

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