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机译:多态生成对抗网络的高光谱图像分类
Jiangsu Key Laboratory of Big Data Analysis Technology the School of Automation Nanjing University of Information Science and Technology Nanjing China;
Jiangsu Key Laboratory of Big Data Analysis Technology the School of Automation Nanjing University of Information Science and Technology Nanjing China;
Jiangsu Key Laboratory of Big Data Analysis Technology the School of Automation Nanjing University of Information Science and Technology Nanjing China;
Helmholtz-Zentrum Dresden-Rossendorf (HZDR) Helmholtz Institute Freiberg for Resource Technology (HIF) Freiberg Germany;
Task analysis; Generative adversarial networks; Generators; Gallium nitride; Training; Deep learning; Image reconstruction;
机译:基于多类空间谱生成对抗网络的高光谱图像分类
机译:虚拟培训通过生成对冲网络生成高光谱图像分类
机译:用于高光谱图像分类的自适应丢弃增强的生成对抗网络
机译:使用训练对抗网络和生成对抗网络对CNN高光谱图像进行分类
机译:生成对抗网络在人类运动的生成和分类中的应用
机译:基于多判别生成对抗网络的高光谱图像分类方法
机译:虚拟培训通过生成对冲网络生成高光谱图像分类