Correction: Moghimi et al. Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies. Remote Sens. 2022, 14, 1777

Armin Moghimi; Ali Mohammadzadeh; Turgay Celik; Brian Brisco; Meisam Amani

doi:10.3390/rs14225898

,

and

¹

Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran

²

Institute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover (LUH), 30167 Hannover, Germany

³

School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg 2000, South Africa

⁴

The Wits Institute of Data Science, University of the Witwatersrand, Johannesburg 2000, South Africa

Remote Sens.2022, 14(22), 5898;https://doi.org/10.3390/rs14225898

Version Notes

Order Reprints

There was an error in the original publication [1]. Equation (35) should have a power of two. A correction has been made to Section 2. Materials and Methods, 2.3. Evaluation Metrics, Equation (35):

RMSE = \sqrt{\frac{1}{N_{c}} \sum_{ι = 1}^{N_{c}} {(R_{ι} - T_{ι}^{N})}^{2}}

The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

Moghimi, A.; Mohammadzadeh, A.; Celik, T.; Brisco, B.; Amani, M. Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies. Remote Sens. 2022, 14, 1777. [Google Scholar] [CrossRef]

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Correction: Moghimi et al. Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies. Remote Sens. 2022, 14, 1777

Reference

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