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...
Main Authors: | Majid Shadman Roodposhti, Jagannath Aryal, Arko Lucieer, Brett A. Bryan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/21/1/78 |
Similar Items
-
A Novel Rule-based Approach In Mapping Landslide Susceptibility
by: Majid Shadman Roodposhti, et al.
Published: (2019-05-01) -
Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method
by: Majid Shadman Roodposhti, et al.
Published: (2016-09-01) -
Healthcare Teams Neurodynamically Reorganize When Resolving Uncertainty
by: Ronald Stevens, et al.
Published: (2016-11-01) -
Reduction of uncertainty using adaptive modeling under stochastic criteria of information content
by: Dmitry Anatolyevich Garanin, et al.
Published: (2023-01-01) -
Acknowledging Uncertainty in Economic Forecasting. Some Insight from Confidence and Industrial Trend Surveys
by: Ana Jesús López-Menéndez, et al.
Published: (2019-04-01)