Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

•Classification of mangrove species using the UAV multispectral image and DSM.•RFE-based variable selection improves classification performance of DL algorithms.•SEL algorithm outperforms DL algorithms in mapping mangrove species.•SEL algorithm achieves the highest overall accuracy of 92.2%.•XGBoost...

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Veröffentlicht in:	International journal of applied earth observation and geoinformation Jg. 112; S. 102890
Hauptverfasser:	Fu, Bolin, He, Xu, Yao, Hang, Liang, Yiyin, Deng, Tengfang, He, Hongchang, Fan, Donglin, Lan, Guiwen, He, Wen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2022 Elsevier
Schlagworte:	algorithms data collection DeeplabV3+ and PSPNet algorithm Image segmentation and feature selection Mangrove species spatial data species Stacking ensemble learning algorithm UAV multispectral images wetlands Mangrove species UAV multispectral images DeeplabV3+ and PSPNet algorithm Image segmentation and feature selection Stacking ensemble learning algorithm
ISSN:	1569-8432, 1872-826X
Online-Zugang:	Volltext
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