Variational fusion of hyperspectral and multispectral images
Docker
This project is coded with C++ and the libraries needed for its functionning are included in a Dockerfile which enables our code to work on any OS based systems
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First Docker needs to be installed on you system with the help of this link: https://docs.docker.com/engine/install/
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Clone our project in the location of your choosing on your local system and open a terminal in the cloned folder
Building the docker container
From the Dockerfile we're going to build an image called "hsmsfusion" in the folder downloaded from our Github repository
docker build -t hsmsfusion .Fusion
At this point all the libraries and the packages are installed. The next commannd line does multiple manouvers: it starts a docker container named demofusion from the built image, it mounts a volume on the docker container that points to the demo folder in downloaded one and launches the demo.sh script.
The demo.sh script executes three commands: it moves to the demo folder, it creates the HS and MS images and all the data needed for the fusion and finally, it carries out the fusion with the generated data.
docker run --name demofusion -v $PWD/demo:/home/demo hsmsfusion sh demo.shRecovering the fusion result
The fusion result will be available in the demo folder in the cloned repository.