Next Article in Journal
Effects of Driving Factors on Forest Aboveground Biomass (AGB) in China’s Loess Plateau by Using Spatial Regression Models
Previous Article in Journal
Noise Analysis and Combination of Hydrology Loading-Induced Displacements
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 14
Issue 12
10.3390/rs14122841
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Correction to Remote Sens. 2020, 12(23), 3888.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Peng et al. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888

by
Mingyuan Peng
1,2,
Lifu Zhang
1,*,
Xuejian Sun
1,
Yi Cen
1 and
Xiaoyang Zhao
1,2
1
The State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(12), 2841; https://0-doi-org.brum.beds.ac.uk/10.3390/rs14122841
Submission received: 16 July 2021 / Accepted: 22 October 2021 / Published: 14 June 2022
Versions Notes

Error in Affiliation

In the original article [1], there was an error regarding the affiliation 1. The word ‘Research’ was missing. The correct is as follows:
The State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.

Error in Table

In the original article, there was a mistake in Table 5 as published in [1]. The ESTARFM and FSDAF results of CIA and LGC were rightly recorded yet wrongly calculated. The corrected Table 5 appears below.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Reference

  1. Peng, M.; Zhang, L.; Sun, X.; Cen, Y.; Zhao, X. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888. [Google Scholar] [CrossRef]
Table
Table 5. Running times 1 of the entire time series using different methods.
Table 5. Running times 1 of the entire time series using different methods.
CIALGCRDT
STF3DCNN55298777
ESTARFM65,871.94109,361.79514,435.744
FSDAF27,626.01751,858.2987595.211
DCSTFN691012,278489.4740
1 Times are expressed in seconds.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Peng, M.; Zhang, L.; Sun, X.; Cen, Y.; Zhao, X. Correction: Peng et al. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888. Remote Sens. 2022, 14, 2841. https://0-doi-org.brum.beds.ac.uk/10.3390/rs14122841

AMA Style

Peng M, Zhang L, Sun X, Cen Y, Zhao X. Correction: Peng et al. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888. Remote Sensing. 2022; 14(12):2841. https://0-doi-org.brum.beds.ac.uk/10.3390/rs14122841

Chicago/Turabian Style

Peng, Mingyuan, Lifu Zhang, Xuejian Sun, Yi Cen, and Xiaoyang Zhao. 2022. "Correction: Peng et al. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888" Remote Sensing 14, no. 12: 2841. https://0-doi-org.brum.beds.ac.uk/10.3390/rs14122841

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop