机译:利用空间光谱深残积卷积神经网络进行高光谱图像降噪
Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China|Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China|Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China|Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China;
Hyperspectral image (HSI) denoising; spatial-spectral; convolutional neural network (CNN); multiscale feature extraction;
机译:利用深度卷积神经网络对高光谱图像进行光谱空间分类
机译:跨域卷积神经网络对光谱空间高光谱图像的高效深特征提取与分类
机译:基于改进的深度残余3D卷积神经网络在高光谱图像中早期衰变的检测与分类
机译:演化的深卷积神经网络用于高光谱图像去噪
机译:深度卷积神经网络,用于融合高光谱和LiDAR数据。
机译:使用高光谱成像对头颈癌进行分类的深度卷积神经网络
机译:高光谱图像去噪采用空间深深残留卷积神经网络