Subspace-based Feature Fusion from Hyperspectral and Multispectral Images for Pixel-based Classification

Juan Ramírez, Héctor Vargas, José I. Martínez-Torre, and Henry Arguello.

Supplementary material

How to run the code

Download and uncompress the featurefusion_igarss2021 folder. To generate Figures and Tables in the paper, under MATLAB environment, navigate to the featurefusion_igarss2021 folder and follow the instructions described below

Demo for Pavia University cropped image

This demo runs in MATLAB using:

>> demo_pavia.m

Figure 1

To generate Figure 1, run:

>> generate_fig1.m

Warning: this simulation can take several hours.

Demo for Houston University cropped image

This demo runs in MATLAB using:

>> demo_houston.m

Platform

• Ubuntu 18.04 Operating System, MATLAB R2020a

License

This code package is licensed under the GNU GENERAL PUBLIC LICENSE (version 3) - see the LICENSE file for details

Authors

• Héctor Miguel Vargas García. PhD Student. Electrical Engineering Department. Universidad Industrial de Santander. Bucaramanga, Colombia.
• Juan Marcos Ramírez Rondón. GET-Cofund MSCA Postdoctoral Fellow. Computer Science Department. Universidad Rey Juan Carlos. Móstoles, 28938, Spain.

Contact

Juan Marcos Ramirez

Date

January 25, 2021

Acknowledgements

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754382, GOT ENERGY TALENT. The content of this article does not reflect the official opinion of the European Union. Responsibility for the information and views expressed herein lies entirely with the authors.