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A Versatile Pre-training Method for Sparse Unmixing of Hyperspectral Images

Figure 1

🔨 Installation

  1. Install Anaconda or Miniconda

  2. Install Git

  3. Open commond line, create environment and enter with the following commands:

     conda create -n P4SU python=3.8
     conda activate P4SU
    
  4. Clone the repository and enter:

     git clone https://github.com/Ryan21wy/P4SU.git
     cd P4SU
    
  5. Install dependency with the following commands:

     pip install -r requirements.txt
    

🎨 Samples

To learn how to pretrain and finetune your own models, some samples are available at Google Colab demo 1 and demo 2.

🧑‍💻 Contact

Wang Yue
E-mail: ryanwy@csu.edu.cn

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A Versatile Pre-training Method for Sparse Unmixing of Hyperspectral Images

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