S1-S2-DataFusion

A Procedure for Data Fusion Paradigm Selection applied to Land-Cover Classification of SAR and Multispectral Sentinel Data

Authors:

• Alessandro Sebastianelli: sebastianelli@unisannio.it
• Maria Pia Del Rosso: mariapia.delrosso@gmail.com
• Silvia Liberata Ullo: ullo@unisannio.it

Installation

This project has been developed in Python3.6.8.

1. Download python 3.6.8
2. Install PIP
3. Install virtualenv: pip3 install virtualenv
4. Navigate to Desktop
5. Clone this projectgit clone https://github.com/Sebbyraft/S1-S2-DataFusion.git
6. Navigate into Desktop/S1-S2-DataFusion
7. Create a virtual environment: virtualenv env
8. Activate the virtualenv env:
   • Windows: env\Scripts\activate
   • MacOS\Linux: source env/bin/activate
9. Install requirements: pip install -r requirements.txt
10. Dataset:
    • A) Use the original dataset or
    • B) Create your dataset using our tool Sentinel Data Downloader Tool
11. Open Jupyter Lab: jupyter lab

Citation

@inproceedings{article_id,
    title={A Procedure for Data Fusion Paradigm Selection applied to Land-Cover Classification of SAR and Multispectral Sentinel Data},
    author={Sebastianelli, A. and Del Rosso, M. P. and Mathieu, P. P. and Ullo, S. L.},
    booktitle={},
    year={2021},
    organization={}
}