Pan-tastic Images and How to Sharpen Them

About The Project

This project was developed as part of the final exam of the Image Processing for Computer Vision course from the University of Naples Federico II.

Getting Started

Prerequisites

You should install Anaconda and Git before continuing.

Installation

1. Clone the repo

   git clone https://github.com/simone-dotolo/PantasticSharpening.git

2. Create the virtual environment with the pantastic.yml

   conda env create -n pantastic -f pantastic.yml

Usage

1. Activate the Conda Environment

   conda activate pantastic

2. Try it!

   python3 pansharpening.py -m APNN -s WV3 -i example/WV3_example.mat -o ./ -w weights/APNN_weights.pth

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Simone Dotolo - sim.dotolo@gmail.com

LinkedIn: https://www.linkedin.com/in/simone-dotolo/

Acknowledgments

This project was inspired by the following papers:

• Pansharpening by Convolutional Neural Networks
• Target-adaptive CNN-based pansharpening
• Pansharpening by convolutional neural networks in the full resolution framework
• Full-Resolution Quality Assessment for Pansharpening
• Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework