Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China

[Display omitted] •Mangrove species of multiple natural reserves was implemented fine classifications.•Two adaptive stacking algorithms achieve classification accuracies of 90.4%-96.2%.•ACE and AMO stackings outperform traditional stacking in classifying mangrove species.•MPViT has excellent mangrov...

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Vydáno v:	Ecological indicators Ročník 154; s. 110870
Hlavní autoři:	Fu, Bolin, He, Xu, Liang, Yiyin, Deng, Tengfang, Li, Huajian, He, Hongchang, Jia, Mingming, Fan, Donglin, Wang, Feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.10.2023 Elsevier
Témata:	Adaptive stacking ensemble learning algorithms Aegiceras corniculatum algorithms blue carbon carbon sinks China coasts confidence interval Cyperus Mangrove species classification Multi-Path Vision Transformer algorithm prediction SHapley Additive explanations species sustainable development UAV multispectral images unmanned aerial vehicles vegetation index vision China SHapley Additive explanations Adaptive stacking ensemble learning algorithms UAV multispectral images Mangrove species classification Multi-Path Vision Transformer algorithm
ISSN:	1470-160X
On-line přístup:	Získat plný text
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