What is it about?
Light Detection and Ranging (LiDAR) is a remote sensing technology for precise mapping in 3-dimensional space , but can we use this technology for building footprint detection? This paper focuses on building footprint detection using aerial LiDAR with the developed "LasBuildSeg" Python library.
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Why is it important?
We developed "LasBuildSeg" Python package which provides reproducible extraction of building footprints on real-world aerial LiDAR data. The open-source nature of the package ensures that other researchers can access, use, and build upon the work, fostering collaboration and accelerating advancements in the field. Reproducibility enhances the reliability of research findings, allowing others to verify and validate the results, which is crucial for the progress of scientific knowledge. There is lack of open-source reproducible tools in this subject, so we present "LasBuildSeg" Python package for reproducible analysis on ACM GIS Cup 2022.
Perspectives
Reproducible research has fascinated me since my early days as an undergraduate student in the Geomatics Engineering Department at Hacettepe University, Turkey. I was fortunate that the 2022 ACM SIGSPATIAL GIS Cup focused on building footprint detection from aerial LiDAR data. Recognizing the lack of open-source tools in this domain, we decided to expand our project and submitted a paper to the ACM SIGSPATIAL 2023. Learning about its acceptance was a gratifying and proud moment, as it marked the first paper from Turkey to appear in the conference since 2013. Despite facing visa issues that prevented me from attending ACM SIGSPATIAL 2023 in Hamburg, the experience of presenting our work to renowned academics and colleagues was truly remarkable.
Mertcan Erdem
Hacettepe Universitesi
Read the Original
This page is a summary of: Reproducible Extraction of Building Footprints from Airborne LiDAR Data: A Demo Paper, November 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3589132.3625574.
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