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In the search for an optimal multi-view crop classifier

paper

Public repository of our work in the search for an optimal multi-view crop classifier

Data

The data used comes from https://github.com/nasaharvest/cropharvest. However we also share the code used to generate the data structures that we used in data folder.

Training

  • To train the Input fusion strategy:
python train_singleview.py -s config/singleview_ex.yaml
  • To train the Ensemble aggregation strategy:
python train_singleview_pool.py -s config/singleviewpool_ex.yaml
  • To train strategies based on multiple encoders: Feature, Decision and Hybrid fusion strategies:
python train_multiview.py -s config/multiview_ex.yaml

Evaluation

  • To evaluate the model by its predictions (performance):
python evaluate_predictions.py -s config/evaluation_ex.yaml

Installation

Please install the required packages with the following command:

pip install -r requirements.txt

📜 Source

Mena, Francisco, Diego Arenas, and Andreas Dengel. "In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data.", 2024.