Post-analysis of OSM-GAN Spatial Change Detection
Published in ISPRS International Journal of Geo-Information, 2022
This paper presents a post-analysis of OSM-GAN, a generative adversarial network for spatial change detection in OpenStreetMap data. The study evaluates the model's performance in detecting building footprint changes over time, demonstrating its potential for monitoring urban growth and development.
Recommended citation: Niroshan, L. and Carswell, J.D., 2022. Post-analysis of OSM-GAN spatial change detection. ISPRS International Journal of Geo-Information, 11(5), p.295Niroshan, L., Carswell, J.D. (2022). Post-analysis of OSM-GAN Spatial Change Detection. In: Karimipour, F., Storandt, S. (eds) Web and Wireless Geographical Information Systems. W2GIS 2022. Lecture Notes in Computer Science, vol 13238. Springer, Cham. https://doi.org/10.1007/978-3-031-06245-2_3
Recommended citation: Niroshan, L. and Carswell, J.D., 2022. Post-analysis of OSM-GAN spatial change detection. ISPRS International Journal of Geo-Information, 11(5), p.295Niroshan, L., Carswell, J.D. (2022). Post-analysis of OSM-GAN Spatial Change Detection. In: Karimipour, F., Storandt, S. (eds) Web and Wireless Geographical Information Systems. W2GIS 2022. Lecture Notes in Computer Science, vol 13238. Springer, Cham. https://doi.org/10.1007/978-3-031-06245-2_3 https://lasith-niro.github.io/files/post-osm-gan.pdf