...
首页> 外文期刊>Network Daily News >New Remote Sensing Findings Reported from Beihang University (Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network)
【24h】

New Remote Sensing Findings Reported from Beihang University (Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network)

机译:新从北京航空航天遥感的研究报道大学(高光谱图像分类使用功能融合超图卷积神经网络)

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

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 Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Convolution neural networks (CNNs) and graph representation learning are two common methods for hyperspectral image (HSI) classification. Recently, graph convolutional neural networks, a combination of CNN and graph representation learning, have shown great potential in the HSI classification problem.”
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。北京,中华人民共和国NewsRx记者、研究说,“卷积神经网络(cnn)和图表示学习是两种常用的方法高光谱图像(HSI)分类。最近,图卷积神经网络,CNN和图形表示学习,恒生指数显示巨大的潜力分类问题。”

著录项

相似文献

  • 外文文献
  • 中文文献
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