2022
DOI: 10.1016/j.jag.2022.102890
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Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

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Cited by 32 publications
(34 citation statements)
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“…The SEL framework generalizes the output values of multiple models to improve the overall classification performance by using the classification results of the base model as the input data of the meta-model ( Fu et al., 2022 ). The SEL principle was shown in Figure 3A .…”
Section: Methodsmentioning
confidence: 99%
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“…The SEL framework generalizes the output values of multiple models to improve the overall classification performance by using the classification results of the base model as the input data of the meta-model ( Fu et al., 2022 ). The SEL principle was shown in Figure 3A .…”
Section: Methodsmentioning
confidence: 99%
“…(Zhang et al, 2020) classifies vegetation based on medium resolution spectral imaging technology and SEL, and its accuracy is 5.1-5.2% higher than other single models. (Fu et al, 2022) constructed a model based on multispectral images and SEL, and The training and test set accuracies of the feature wavelengths selected by the four variable selection methods as the model input. Wu et al 10.3389/fpls.2022.1047479 found that the integrated learning algorithm produced better classification performance than the basic model, with an overall accuracy rate of 1.6-12.7% higher.…”
Section: Classification Performance Analysis Of Stacked Ensemble Modelsmentioning
confidence: 99%
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“…As one of the most productive [1] and biologically significant ecosystems, mangroves have a high economic and ecological value [2][3][4]. Furthermore, mangrove ecosystems are a valuable resource for recreation, education, and scientific research [5].…”
Section: Introductionmentioning
confidence: 99%