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首页> 外文期刊>Network Daily News >Recent Studies from Huzhou University Add New Data to Networks (Edge Protection Filtering and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification)
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Recent Studies from Huzhou University Add New Data to Networks (Edge Protection Filtering and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification)

机译:惠州大学的最新研究为网络添加了新数据(边缘保护过滤和高光谱遥感图像分类的卷积神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Networks is the subject of a report. According to news originating from Huzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Hyperspectral remote sensing (HRS) image has abundant spectral information and spatial information, which provides the possibility for high precision ground object recognition. Aiming at the problem that spatial information is not fully utilized in the classification of HRS images, a classification method based on edge protection filtering combined with deep learning is proposed.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 网络的新研究是报告的主题。 根据NewsRX通讯员的源自Huzhou的新闻,研究人员说:“高光谱遥感(HRS)图像具有丰富的光谱信息和空间信息,这为高精度地面对象识别提供了可能性。 针对一个问题,即在HRS图像的分类中没有充分利用空间信息,提出了一种基于边缘保护过滤与深度学习的分类方法。”

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