OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images
Published in International Conference on Geoinformatics and Data Analysis, 2022
This paper introduces OSM-GAN, a novel approach for detecting spatial changes in high-resolution satellite images. The model leverages generative adversarial networks to identify building footprint changes in OpenStreetMap data, demonstrating its potential for monitoring urban development.
Recommended citation: Niroshan, L. and Carswell, J.D., 2022. OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images. In International Conference on Geoinformatics and Data Analysis (pp. 179-193). Springer, Cham.
Recommended citation: Niroshan, L. and Carswell, J.D., 2022. OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images. In International Conference on Geoinformatics and Data Analysis (pp. 179-193). Springer, Cham. https://lasith-niro.github.io/files/osm-gan.pdf