TY - JOUR
T1 - Linking Points with Labels in 3D
T2 - A Review of Point Cloud Semantic Segmentation
AU - Xie, Yuxing
AU - Tian, Jiaojiao
AU - Zhu, Xiao Xiang
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Ripe with possibilities offered by deep-learning techniques and useful in applications related to remote sensing, computer vision, and robotics, 3D point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting increasing interest. This article summarizes available data sets and relevant studies on recent developments in PCSS and PCS.
AB - Ripe with possibilities offered by deep-learning techniques and useful in applications related to remote sensing, computer vision, and robotics, 3D point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting increasing interest. This article summarizes available data sets and relevant studies on recent developments in PCSS and PCS.
UR - http://www.scopus.com/inward/record.url?scp=85081356659&partnerID=8YFLogxK
U2 - 10.1109/MGRS.2019.2937630
DO - 10.1109/MGRS.2019.2937630
M3 - Review article
AN - SCOPUS:85081356659
SN - 2473-2397
VL - 8
SP - 38
EP - 59
JO - IEEE Geoscience and Remote Sensing Magazine
JF - IEEE Geoscience and Remote Sensing Magazine
IS - 4
M1 - 9028090
ER -