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danfenghong / IEEE_TNNLS_EGU-Net

Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.
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仿真数据集运行结果 #5

Closed zlyrs1 closed 2 years ago

zlyrs1 commented 2 years ago

image 您好，这是我在仿真数据集(提供的pure和mixed)上运行EGU-Net-pw.py得到的结果，为什么跑出来是损失下降了，但是准确度也跟着下降而且很低呢

danfenghong commented 2 years ago

你好，解混不是分类，解混是为了得到丰度图，然后计算估计的丰度图和真实图间的误差，所以acc也是减低了，说明越接近真是图。

zlyrs1 @.***> 于2021年11月9日周二 下午11:15写道：

[image: image] https://user-images.githubusercontent.com/27490404/140940591-f5508340-6896-41b9-adfe-78d416dc4ccc.png

您好，这是我在仿真数据集(提供的pure和mixed)上运行EGU-Net-pw.py得到的结果，为什么跑出来是损失下降了，但是准确度也跟着下降而且很低呢

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zlyrs1 commented 2 years ago

谢谢您的解答，明白了