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机译:基于地理包裹的作物分类在非常高分辨率图像中通过分层感知
Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100101 Peoples R China|Univ Chinese Acad Sci Beijing Peoples R China;
Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100101 Peoples R China|Univ Chinese Acad Sci Beijing Peoples R China;
Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China;
Changan Univ Coll Sci Dept Math & Informat Sci Xian Shaanxi Peoples R China;
Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100101 Peoples R China|Univ Chinese Acad Sci Beijing Peoples R China;
Univ Chinese Acad Sci Beijing Peoples R China;
Univ Chinese Acad Sci Beijing Peoples R China;
Ningxia Acad Agr & Forestry Sci Inst Agr Econ & Informat Technol Ningxia Peoples R China;
机译:评估多分类器系统,以减少超高分辨率卫星图像分类中的椒盐噪声
机译:评估多分类系统,用于减少高分辨率卫星图像分类中的盐和胡椒噪声
机译:基于卷积神经网络的超高分辨率遥感影像的基于对象的监督分类框架
机译:基于注意力的分层卷积神经网络,用于细粒度裁剪图像分类
机译:遥感多光谱图像的共识和层次分类。
机译:作物疾病对低分辨率目标图像不足的分类
机译:用于高分辨率遥感图像分类的CNN改进度量学习