机译:基于SAR强度图像的两层稀疏学习的冰川区域分类判别特征。
Department of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, Germany;
Department of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, Germany;
Department of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, Germany;
Department of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, Germany;
Department of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, Germany;
Snow; Synthetic aperture radar; Ice; Integrated optics; Optical imaging; Remote sensing; Monitoring;
机译:监督判别词典学习中的SAR目标识别和SAR-HOG特征的稀疏表示
机译:通过鉴别特征学习和基于相互信息的多通道关节稀疏表示的组织病理学图像分类
机译:基于深度增强学习方法的多极化特征全极化SAR图像分类
机译:基于秩的识别识别特征学习EEG信号中的电机图像分类
机译:基于稀疏和低级别的用于捕获多主题FMRI数据中的共同和辨别特征的方法
机译:基于CSP的新功能以及电机图像EEG分类的非凸起日志稀疏功能选择
机译:基于监督判别字典学习和saR-HOG特征稀疏表示的saR目标识别
机译:学习判别稀疏模型的高光谱图像源分离与映射