首页> 外文会议>Asian conference on remote sensing;ACRS >GENETIC ALGORITHM FOR OIL SPILL AUTOMATIC DETECTION FROM MULTISAR SATELLITE DATA
【24h】

GENETIC ALGORITHM FOR OIL SPILL AUTOMATIC DETECTION FROM MULTISAR SATELLITE DATA

机译:基于多SAR卫星数据自动识别漏油的遗传算法

获取原文

摘要

The main objective of this work is to design automatic detection procedures for oil spill in synthetic aperture radar (SAR) satellite data. In doing so the genetic algorithm tool was designed to investigate the occurrence of using ENVISAT and RADARSAT-2 SAR satellite data. The study shows that genetic algorithm provides accurate pattern of oil slick in SAR data. This shown by 90% for oil spill, 3% look-alike and 7% for sea roughness using the receiver -operational characteristics (ROC) curve. It can therefore be concluded genetic algorithm can be used as automatic tool for oil spill detection in ENVISAT ASAR and RADARSAT-2 SAR data.
机译:这项工作的主要目的是设计合成孔径雷达(SAR)卫星数据中漏油的自动检测程序。为此,设计了遗传算法工具来调查使用ENVISAT和RADARSAT-2 SAR卫星数据的情况。研究表明,遗传算法为SAR数据提供了准确的浮油模式。使用接收器工作特性(ROC)曲线可以看到,溢油90%,相似油类3%,海面粗糙度7%。因此可以得出结论,遗传算法可以用作ENVISAT ASAR和RADARSAT-2 SAR数据中溢油检测的自动工具。

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