Implementation of paper "Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network" (T-GRS 2022)
Home Page: https://ieeexplore.ieee.org/document/9503107
License: MIT License
For more information, please refer to
@article{zhao20223d, title={Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network}, author={Zhao, M. and Wang, M. and Chen, J. and Rahardja, S.}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2022}, publisher={IEEE} }
请问对所给参考进行可视化，发现端元为负数？
Hello
I am a novice in this field. I've been trying to debug your program recently. If I have my own dataset, can you please tell me what parameters and code I need to change?
Thank you.
Hello, may I ask why the input of the endmember is 468×3 and the original endmember is not 156×3?
Hi Zhamoin.
Your work is so interesting, you did a great job. I am trying to implement your work, but i am facing small problem. why you changed intput data into
hsi.shape
Out[638]: (9025, 9, 156)
how 9 columns are needed. Please help me with this.
I really appreciate any help you can provide.
A.Suresh.
Hello, i am wondering how to define the channel filter kernel of the five 3D conv layers in the encoder for different datasets, such as Urban, Samson, Houston, JasperRidge?
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