Retraction
A novel semi-supervised method for airborne LiDAR point cloud classification
Paper Information
Record ID:
38668
Author(s):
Publication Date:
August 24, 2021
Retraction Date:
April 20, 2022
(3.6 years years ago)
Subjects:
Institutions:
Countries:
Article Type:
Publisher:
Elsevier
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reason:
Nature of Retraction:
Retraction
Retraction Notice:
10.1016/j.isprsjprs.2022.04.005Citations (7)
7
Total Citations5
Post-Retraction(71.4%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
3
Within 1 year
0
After 2+ years
621
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Convolutional Neural Network Model for Stratification of LiDAR 3D Point Cloud Data
Chithra PL, S. Lakshmi
Unknown Journal
Open Access
Published: Jan 2024
621 days after retraction
Deep-Learning-Based Semantic Segmentation Approach for Point Clouds of Extra-High-Voltage Transmission Lines
Hao Yu, Zhengyang Wang, Qingjie Zhou et al. (10 authors)
Remote Sensing
Open Access
Published: Apr 2023
12 citations
12 citations
375 days after retraction
Label-efficient semantic segmentation of large-scale industrial point clouds using weakly supervised learning
Chao Yin, Bo Yang, Jack C.P. Cheng et al. (6 authors)
Automation in Construction
Published: Jan 2023
19 citations
19 citations
281 days after retraction
Tree Species Classification Using Airborne LiDAR Data Based on Individual Tree Segmentation and Shape Fitting
Chen Qian, Chunjing Yao, Hongchao Ma et al. (5 authors)
Remote Sensing
Open Access
Published: Jan 2023
13 citations
13 citations
264 days after retraction
UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States
Yindan Zhang, Gang Chen, Soe W. Myint et al. (7 authors)
Remote Sensing of Environment
Published: Jun 2022
31 citations
31 citations
43 days after retraction
A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification
Lingfeng Liao, Shengjun Tang, Jianghai Liao et al. (7 authors)
Remote Sensing
Open Access
Published: Mar 2022
24 citations
24 citations
30 days before retraction
Quick Stats
Total Citations:
10
Years Since Retraction:
3.6 years
Open Access:
Yes
Last Checked:
Jul 24, 2025