Reference-free method for investigating classification uncertainty in large-scale land cover datasets
In the last decade, land cover products are produced at a global scale and updated with an unprecedent speed with the development of earth observation and mapping techniques. However, assessing large-scale land cover datasets is always a challenging task because of lack of ground truth and high depe...
Main Authors: | Pengfei Chen, Huabing Huang, Wenzhong Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-03-01
|
Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421003809 |
Similar Items
-
Improving wetland cover classification using artificial neural networks with ensemble techniques
by: Xudong Hu, et al.
Published: (2021-05-01) -
Deep neural network ensembles for remote sensing land cover and land use classification
by: Burak Ekim, et al.
Published: (2021-12-01) -
A graphical approach for the evaluation of land-cover classification procedures /
by: 432967 Peng, Gong, et al. -
Characterization and classification of South American land cover types using satellite data /
by: 199444 Townshend, John R. G., et al. -
Precision Non-Alcoholic Fatty Liver Disease (NAFLD) Diagnosis: Leveraging Ensemble Machine Learning and Gender Insights for Cost-Effective Detection
by: Azadeh Alizargar, et al.
Published: (2024-06-01)