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3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)
Research article (Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018) · cited 14× · AI/ML
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)
Summary
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration) is a scholarly article[1].
Key Facts
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)'s instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). 3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration). Retrieved May 24, 2026, from https://4ort.xyz/entity/3d-semantic-segmentation-for-high-resolution-aerial-survey-derived-point-clouds-using-deep-learning-demonstration
MLA“3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3d-semantic-segmentation-for-high-resolution-aerial-survey-derived-point-clouds-using-deep-learning-demonstration.
BibTeX@misc{4ortxyz_3d-semantic-segmentation-for-high-resolution-aerial-survey-derived-point-clouds-using-deep-learning-demonstration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)}}, year = {2026}, url = {https://4ort.xyz/entity/3d-semantic-segmentation-for-high-resolution-aerial-survey-derived-point-clouds-using-deep-learning-demonstration}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration) — https://4ort.xyz/entity/3d-semantic-segmentation-for-high-resolution-aerial-survey-derived-point-clouds-using-deep-learning-demonstration (retrieved 2026-05-24)
