This is the code of “Hyperspectral Image Classification with Convolutional Neural Network and Active Learning”.
If you use this code, pleae cite the following papers in your work.
[1] Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng. Hyperspectral Image Classification with Convolutional Neural Network and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, 2020. (https://ieeexplore.ieee.org/document/8978543)
[2] H. Bi, F. Xu, Z. Wei, Y. Xue, and Z. Xu, An active deep learning approach for minimally supervised polsar image classification. IEEE Transactions on Geoscience and Remote Sensing, 2019.
CNN-AL-MRF
This is the code of “Hyperspectral Image Classification with Convolutional Neural Network and Active Learning”.
If you use this code, pleae cite the following papers in your work.
[1] Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng. Hyperspectral Image Classification with Convolutional Neural Network and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, 2020. (https://ieeexplore.ieee.org/document/8978543)
[2] H. Bi, F. Xu, Z. Wei, Y. Xue, and Z. Xu, An active deep learning approach for minimally supervised polsar image classification. IEEE Transactions on Geoscience and Remote Sensing, 2019.
Install Matconvnet in Windows
Please follow the instruction in the website: http://shan3ahmed.blogspot.com/2017/08/compile-matconvnet-on-windows.html.
Reproducing the results
To reproduce the experimental results of Section IV. D (1), please run
Contact:
If you have any question, welcome to contact me (caoxiangyong45@gmail.com / caoxiangyong@mail.xjtu.edu.cn).