* Read the article

* Read the poster

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Thesis index

1. Introduction

• Thesis background
• Related work
• Task definition
• Proposed approach

2. Datasets

• Train and test data for model building
• Crop classification data

  Jupyter Notebooks

  • Downloading data with Google Earth Engine
  • Landsat Imagery Preprocessing
  • Preprocessing and visualization of data
  • Dataset class and utils

3. Methods

• Generative Adversarial Networks (GANs)
• SAM-GAN: Proposed enhancement
• Evaluation metrics

  Jupyter Notebooks

  • Metrics
  • CNN architecture
  • pix2pix architecture
  • iPAN architecture
  • SAM-GAN architecture

4. Experiments

• Training
• Testing
• Comparison
• Results

  Jupyter Notebooks

  • Data and model set up, training and testing

5. Appendix

• Documents