CNN_HSIC_MRF

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This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification

CNN_HSIC_MRF 최신버젼 다운로드

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# Hyperspectral Image Classification using Markov Random Field and a convolutional neural network

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## **CNN-HSI-MRF**

This is a TensorFlow implementation of Convolutional Neural Network (CNN) for the task of Hyperspectral Image Segmentation based on the code (https://github.com/KGPML/Hyperspectral), as described in our paper:

X. Cao, F. Zhou, L. Xu, D. Meng, Z. Xu and J. Paisley, [Hyperspectral image segmentation with Markov random fields and a convolutional neural network, arXiv:1705.00727.](https://arxiv.org/pdf/1705.00727.pdf)

Another version of this code is in [https://github.com/xiangyongcao/CNN-MRF-v1]
### **Requirments**

- tensorflow 0.12.1

### **How to use the code**
 - step 1: run the python code
 `python cnn_train.py`
 - step 2: run the matlab code 
 `Demo_Post_MRF.m`

### **Cite**
This code is protected by the MIT licence. Please cite our paper if you use this code in your code:

@article{cao2017hyperspectral,
    title={Hyperspectral image segmentation with Markov random fields and a convolutional neural network},
    author={Cao, Xiangyong and Zhou, Feng and Xu, Lin and Meng, Deyu and Xu, Zongben and Paisley, John},
    journal={arXiv preprint arXiv:1705.00727},
    year={2017}
    }
    
If you have any question in using the code, welcom to contact Xiangyong Cao (caoxiangyong45@gmail.com).

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