Forest fire monitoring via uncrewed aerial vehicle image processing based on a modified machine learning algorithm

HIGHLIGHTS

SUMMARY

Vector machine (SVM) classifier, random forest, and multilayer perceptron neural_network, were trained and verified (Thach et_al, 2018). Zhang et_al built a forest fire prediction model based on the convolutional neural_network structure suitable for forest fire sensitivity prediction. Thach et_al analyzed the spatial pattern of tropical forest fire risk using random forest and the multilayer perceptron neural_network and used the Pearson correlation method to evaluate the correlation between the variables and forest fire. Few researchers have studied high-precision and lightweight backpropagation neural_network (BPNN) models. When the input layer has a reverse propagation method, it . . .

 



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