ACM SIGSPATIAL GISCUP 2022 Workshop Report: Extracting Building Footprints from LiDAR Point Clouds Seattle, Washington, USA, November 1, 2022
The 11th SIGSPATIAL Cup competition, GISCUP 2022, was held in conjunction with the
30th ACM SIGSPATIAL International Conference on Advances in Geographic Information …
30th ACM SIGSPATIAL International Conference on Advances in Geographic Information …
Exploiting Polygon Metadata to Understand Raster Maps-Accurate Polygonal Feature Extraction
Locating undiscovered deposits of critical minerals requires accurate geological data.
However, most of the 100,000 historical geological maps of the United States Geological …
However, most of the 100,000 historical geological maps of the United States Geological …
Reproducible Extraction of Building Footprints from Airborne LiDAR Data: A Demo Paper
M Erdem, B Anbaroglu - Proceedings of the 31st ACM International …, 2023 - dl.acm.org
Automatic building footprint detection from aerial LiDAR point cloud data is an important
research area that has use in various research areas ranging from city modeling to disaster …
research area that has use in various research areas ranging from city modeling to disaster …
[PDF][PDF] Geospatial segmentation and classification
S Torkamanzadeh - 2024 - uis.brage.unit.no
This thesis explores advanced techniques in geospatial segmentation and classification to
enhance the extraction of building footprints from LiDAR data, a challenge showcased in the …
enhance the extraction of building footprints from LiDAR data, a challenge showcased in the …