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Reports Outline Remote Sensing Findings from Chinese Academy of Sciences (Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-stream Convolutional Neural Networks)

机译:报告大纲遥感监测结果中国科学院(时空使用多尺度遥感图像融合二束卷积神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Remote Sensing have been published. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Spatiotemporal remote sensing image fusion (STF) is a promising way to obtain remote sensing data with both fine spatial and temporal resolutions. Gradual and abrupt changes in land surface reflectance images are the main challenges in existing STF methods.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究结果在远程感应已经出版。来自北京的报道,人民共和国NewsRx记者,中国研究说,“时空的遥感图像融合算法)是一种很有前途的方法来获取遥感数据良好的空间和时间分辨率。逐渐和地表的突然变化反射率图像是主要的挑战现有算法的方法。”

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