Smaller is better? Unduly nice accuracy assessments in roof detection using remote sensing data with machine learning and k-fold cross-validation

Deriving the thematic accuracy of models is a fundamental part of image classification analyses. K-fold cross-validation (KCV), as an accuracy assessment technique, can be biased because existing built-in algorithms of software solutions do not handle the high autocorrelation of remotely sensed imag...

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Detalles Bibliográficos
Autores principales: Abriha, Dávid, Srivastava, Prashant K., Szabó, Szilárd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006495/
https://www.ncbi.nlm.nih.gov/pubmed/36915546
http://dx.doi.org/10.1016/j.heliyon.2023.e14045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006495/
https://www.ncbi.nlm.nih.gov/pubmed/36915546
http://dx.doi.org/10.1016/j.heliyon.2023.e14045

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