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首页> 外文期刊>Network Daily News >Study Findings on Networks Are Outlined in Reports from Pennsylvania State University (Penn State) (Deep Multi-look Sequence Processing for Synthetic Aperture Sonar Image Segmentation)
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Study Findings on Networks Are Outlined in Reports from Pennsylvania State University (Penn State) (Deep Multi-look Sequence Processing for Synthetic Aperture Sonar Image Segmentation)

机译:Study Findings on Networks Are Outlined in Reports from Pennsylvania State University (Penn State) (Deep Multi-look Sequence Processing for Synthetic Aperture Sonar Image Segmentation)

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By a News Reporter-Staff News Editor at Network Daily News – Investigatorspublish new report on Networks. According to news reporting originating from University Park, Pennsylvania,by NewsRx correspondents, research stated, “Deep learning has enabled significant improvementsin semantic image segmentation, especially in underwater imaging domains such as side scan sonar (SSS).In this work, we apply deep learning to synthetic aperture sonar (SAS) imagery, which has an advantageover traditional SSS in which SAS produces coherent high-and constant-resolution imagery.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员网络。从宾夕法尼亚大学公园记者,研究指出,“深度学习使显著改善图像分割,尤其是在水下成像领域,如侧扫描声纳(SSS)。这个工作,我们对合成应用深度学习孔径声纳(SAS)成像的一个优势产生相干的高位constant-resolution图像。”

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    《Network Daily News 》 |2023年第13期| 67-68| 共2页
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