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A Review of Point Cloud Semantic Segmentation

Xie, Yuxing and Tian, Jiaojiao and Zhu, Xiaoxiang (2020) A Review of Point Cloud Semantic Segmentation. IEEE Geoscience and Remote Sensing Magazine (GRSM). IEEE - Institute of Electrical and Electronics Engineers. ISSN 2168-6831 (In Press)

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Abstract

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.

Item URL in elib:https://elib.dlr.de/130678/
Document Type:Article
Title:A Review of Point Cloud Semantic Segmentation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Xie, YuxingYuxing.Xie (at) dlr.dehttps://orcid.org/0000-0002-6408-5109
Tian, JiaojiaoJiaojiao.Tian (at) dlr.dehttps://orcid.org/0000-0002-8407-5098
Zhu, Xiaoxiangxiaoxiang.zhu (at) dlr.dehttps://orcid.org/0000-0001-5530-3613
Date:2020
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:In Press
Keywords:Review; point cloud; Segmentation; semantic Segmentation; deep learning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Remote Sensing Technology Institute > EO Data Science
Deposited By: Xie, Yuxing
Deposited On:21 Nov 2019 10:02
Last Modified:01 Apr 2020 03:00

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