机译:基于密集残余三维卷积神经网络的高光谱遥感图像分类
Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science & Technology Nanjing 210044 China;
Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science & Technology Nanjing 210044 China;
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science & Technology Nanjing 210044 China;
Hyperspectral remote sensing classification; Deep convolution; Three-dimensional convolution; Dense residual connection; Multi-label conditional random field;
机译:用于高光谱遥感图像分类的三维密度连接卷积网络
机译:荒漠化玻璃兰地分类和三维卷积神经网络模型,识别沙漠草原地貌与无人机高光谱遥感图像
机译:基于最大重叠池卷积神经网络的高光谱遥感图像分类
机译:基于卷积神经网络的高光谱遥感图像分类
机译:SAR图像分类和使用神经网络检索遥感参数。
机译:基于最大重叠池卷积神经网络的高光谱遥感图像分类
机译:基于最大重叠池卷积神经网络的高光谱遥感图像分类