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20 March 2018 Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data (Erratum)
Mohamed Barakat A. Gibril, Mohammed Oludare Idrees, Kouame Yao, Helmi Zulhaidi Mohd Shafri
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Journal of Applied Remote Sensing, Vol. 12, Issue 1, 019902 (March 2018). https://doi.org/10.1117/1.JRS.12.019902
Abstract
Erratum to correct an error in the paper “Integrative image segmentation optimization andmachine learning approach for high quality land-useand land-cover mapping using multisource remotesensing data.”

This article [J. Appl. Remote Sens. 12(1), 016036 (2018)] contained a misspelling of the name of the third author, Kouame Yao, when it was published on March 9, 2018. All online versions of the article were corrected on 13 March 2018.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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Mohamed Barakat A. Gibril, Mohammed Oludare Idrees, Kouame Yao, and Helmi Zulhaidi Mohd Shafri "Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data (Erratum)," Journal of Applied Remote Sensing 12(1), 019902 (20 March 2018). https://doi.org/10.1117/1.JRS.12.019902
Published: 20 March 2018
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KEYWORDS
Associative arrays
Image quality
Image segmentation
Machine learning
Remote sensing
Civil engineering
Planetary science
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