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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |