Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest

Uncertainty assessment techniques have been extensively applied as an estimate of accuracy to compensate for weaknesses with traditional approaches. Traditional approaches to mapping accuracy assessment have been based on a confusion matrix, and hence are not only dependent on the availability of te...

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Detalles Bibliográficos
Autores principales: Shadman Roodposhti, Majid, Aryal, Jagannath, Lucieer, Arko, Bryan, Brett A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514187/
https://www.ncbi.nlm.nih.gov/pubmed/33266794
http://dx.doi.org/10.3390/e21010078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514187/
https://www.ncbi.nlm.nih.gov/pubmed/33266794
http://dx.doi.org/10.3390/e21010078

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