An Analysis of Fast Learning Methods for Classifying Forest Cover Types
Author:
Affiliation:
1. Department of Global Public Health Sciences, Karolinska Institutet, Solna, Sweden
2. Department of Statistics, Örebro University, Örebro, Sweden
3. Department of Computer Science, Örebro University, Örebro, Sweden
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1771523
Reference13 articles.
1. Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables
2. Deep Learning-Based Classification of Hyperspectral Data
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