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View Code? Open in Web Editor NEWDeep learning framework for hyperspectral image classification
Deep learning framework for hyperspectral image classification
您好
有个问题想问您一下,用Unlabeled Data之后,再用labeled Data时训练是进行一个网络参数的微调吗?
我个人理解思路是使用未标记图像训练,然后用标记图像进行训练调整网络参数,这样就扩充了训练样本,感觉是个很好的思路,受到您的启发,不知道我理解的对不对
但是如果未标记图像训练时标记为16类,那这16类是怎么得到的呢,和待验证图像的类别会不会差别大,毕竟未标记图像和待测试图像可能来自不同传感器,如果使用相同传感器的未标签图像来预训练会不会好一点。
以上纯属个人浅显的想法。
不好意思,多有打扰,祝好
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