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Xie, Yuxing und Tian, Jiaojiao und Zhu, Xiao Xiang (2020) Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation. IEEE Geoscience and Remote Sensing Magazine (GRSM). IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MGRS.2019.2937630. ISSN 2168-6831.
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Offizielle URL: https://ieeexplore.ieee.org/document/9028090
Kurzfassung
3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing interest, due to its applicability in remote sensing, computer vision and robotics, and due to the new possibilities offered by deep learning techniques. In order to provide a needed up-to-date review of recent developments in PCSS, this article summarizes existing studies on this topic. Firstly, we outline the acquisition and evolution of the 3D point cloud from the perspective of remote sensing and computer vision, as well as the published benchmarks for PCSS studies. Then, traditional and advanced techniques used for Point Cloud Segmentation (PCS) and PCSS are reviewed and compared. Finally, important issues and open questions in PCSS studies are discussed.
| elib-URL des Eintrags: | https://elib.dlr.de/130678/ | ||||||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
| Titel: | Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation | ||||||||||||||||
| Autoren: |
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| Datum: | 2020 | ||||||||||||||||
| Erschienen in: | IEEE Geoscience and Remote Sensing Magazine (GRSM) | ||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||
| Open Access: | Ja | ||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||
| DOI: | 10.1109/MGRS.2019.2937630 | ||||||||||||||||
| Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
| ISSN: | 2168-6831 | ||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||
| Stichwörter: | Review; Point Cloud; Segmentation; Semantic Segmentation; Deep Learning | ||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
| Hinterlegt von: | Xie, Yuxing | ||||||||||||||||
| Hinterlegt am: | 21 Nov 2019 10:02 | ||||||||||||||||
| Letzte Änderung: | 09 Jul 2020 10:56 |
Verfügbare Versionen dieses Eintrags
- Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation. (deposited 21 Nov 2019 10:02) [Gegenwärtig angezeigt]
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