Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification

Reliable classification of satellite images is essential for various applications, including land cover and crop (LCC) mapping. In recent years, ensemble classifiers have shown remarkable success in satellite image classification as they provide solutions to combine and integrate multiple classifier...

Full description

Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Hamid Ebrahimy, Zhou Zhang
Format:	Article
Language:	English
Published:	Elsevier 2023-08-01
Subjects:	Ensemble classification Extreme learning machine Per-pixel accuracy Sentinel Cropland data layer
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843223002145