Land-Cover Classification Using MaxEnt: Can We Trust in Model Quality Metrics for Estimating Classification Accuracy?

Land-Cover Classification Using MaxEnt: Can We Trust in Model Quality Metrics for Estimating Classification Accuracy?

MaxEnt is a popular maximum entropy-based algorithm originally developed for modelling species distribution, but increasingly used for land-cover classification. In this article, we used MaxEnt as a single-class land-cover classification and explored if recommended procedures for generating high-qua...

Full description

Bibliographic Details
Main Authors: Narkis S. Morales, Ignacio C. Fernández
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Entropy
Subjects:
akaike information criterion (aic)
area under the curve (auc)
bayesian information criteria (bic)
classification accuracy
kappa
land-cover
model quality
one-class classification
Online Access:https://www.mdpi.com/1099-4300/22/3/342

Similar Items

Similar Items