首页> 外文期刊>Network Daily News >Research Reports from Jilin University Provide New Insights into Remote Sensing (MCMC Method of Inverse Problems Using a Neural Network-Application in GPR Crosshole Full Waveform Inversion: A Numerical Simulation Study)
【24h】

Research Reports from Jilin University Provide New Insights into Remote Sensing (MCMC Method of Inverse Problems Using a Neural Network-Application in GPR Crosshole Full Waveform Inversion: A Numerical Simulation Study)

机译:从吉林大学提供新的研究报告洞察遥感密度的方法使用神经逆问题网络应用程序在探地雷达井间波形反演数值模拟研究):

获取原文
获取原文并翻译 | 示例
           

摘要

By a News Reporter-Staff News Editor at Network Daily News - Investigators publish new report on remote sensing. According to news originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Ground-penetrating radar (GPR) crosshole tomography is widely applied to subsurface media images. However, the inadequacies of ray methods may limit the resolution of crosshole radar images, since the ray method is a type of high-frequency approximation.” Financial supporters for this research include National Natural Science Foundation of China Funder DOI: 10.13039/501100001809 Award: 42130805; 42074151; 42004106.
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告遥感。来自长春、中华人民共和国NewsRx记者、研究说,“探地雷达(GPR)条件下断层是媒体广泛应用于地下图像。可能会限制条件下雷达的决议吗图片,因为射线是一种方法高频近似。”这个研究包括国家的支持者中国自然科学基金资助者DOI:10.13039 / 501100001809奖:42130805;42004106.

著录项

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