The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research

The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research

In remote sensing mapping studies, selecting an appropriate test set to accurately evaluate the results is critical. An imprecise accuracy assessment can be misleading and fail to validate the applicability of mapping products. Commencing with the WHU-Hi-HanChuan dataset, this paper revealed the imp...

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Bibliographic Details
Main Authors: Yuanjun Xiao, Zhen Zhao, Jingfeng Huang, Ran Huang, Wei Weng, Gerui Liang, Chang Zhou, Qi Shao, Qiyu Tian
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Accuracy assessment
Test set
Sample size ratio
Biased accuracy
Accuracy adjustment
Cross validation
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224006125
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