Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing

Research article (Remote Sensing, 2022) · cited 23× · AI/ML
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Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing

Summary

Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing is a scholarly article[1].

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  • Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing's instance of is recorded as scholarly article[2].

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-urban-road-footprints-from-airborne-lidar-point-clouds-with-pointnet-and-two-step-post-processing
MLA “Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-urban-road-footprints-from-airborne-lidar-point-clouds-with-pointnet-and-two-step-post-processing.
BibTeX @misc{4ortxyz_extracting-urban-road-footprints-from-airborne-lidar-point-clouds-with-pointnet-and-two-step-post-processing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-urban-road-footprints-from-airborne-lidar-point-clouds-with-pointnet-and-two-step-post-processing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing — https://4ort.xyz/entity/extracting-urban-road-footprints-from-airborne-lidar-point-clouds-with-pointnet-and-two-step-post-processing (retrieved 2026-05-24)

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