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GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY

Research article (˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, 2019) · cited 18× · AI/ML
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GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY

Summary

GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY is a scholarly article[1].

Key Facts

  • GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY. Retrieved May 24, 2026, from https://4ort.xyz/entity/ground-point-filtering-from-airborne-lidar-point-clouds-using-deep-learning-a-preliminary-study
MLA “GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ground-point-filtering-from-airborne-lidar-point-clouds-using-deep-learning-a-preliminary-study.
BibTeX @misc{4ortxyz_ground-point-filtering-from-airborne-lidar-point-clouds-using-deep-learning-a-preliminary-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY}}, year = {2026}, url = {https://4ort.xyz/entity/ground-point-filtering-from-airborne-lidar-point-clouds-using-deep-learning-a-preliminary-study}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GROUND POINT FILTERING FROM AIRBORNE LIDAR POINT CLOUDS USING DEEP LEARNING: A PRELIMINARY STUDY — https://4ort.xyz/entity/ground-point-filtering-from-airborne-lidar-point-clouds-using-deep-learning-a-preliminary-study (retrieved 2026-05-24)

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