首页> 外文期刊>Network Daily News >Reports from University of Science and Technology Beijing Add New Study Findings to Research in Remote Sensing (A Deformable Convolutional Neural Network with Spatial-Channel Attention for Remote Sensing Scene Classification)
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Reports from University of Science and Technology Beijing Add New Study Findings to Research in Remote Sensing (A Deformable Convolutional Neural Network with Spatial-Channel Attention for Remote Sensing Scene Classification)

机译:在科技大学报道北京添加新的研究结果的研究遥感(变形卷积神经网络空间信道为远程的关注遥感场景分类)

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By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in remote sensing. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Remote sensing scene classification converts remote sensing images into classification information to support high-level applications, so it is a fundamental problem in the field of remote sensing.” Financial supporters for this research include the Advance Research Program.
机译:由一个新闻记者在网络新闻编辑每日新闻)- - -研究人员详细的新数据遥感。北京,中华人民共和国,NewsRx记者,研究指出,“遥感场景分类将遥感图像分类信息来支持高级应用程序,因此这是一个根本的问题在遥感领域的问题。”这个研究包括金融的支持者高级研究计划。

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