Research on Unmanned Aerial Vehicle Environmental Monitoring Method Assisted by Acoustic and Electrical Sensing Technology
In this paper,the signal analysis method of acoustoelectric sensor in unmanned aerial vehicle environmental monitoring system is studied and verified by UrbanSound data set.Firstly,the basic principle of unmanned aerial vehicle environmental monitoring system is introduced.Secondly,Recurrent Neural Network(RNN)model is used to classify the acoustic and electric sensor signals,and regularization methods such as discard method are introduced to optimize the model performance.The final experiment shows that compared with traditional RNN,regularized RNN has achieved significant improvement in accuracy,precision and recall rate.
unmanned aerial vehicleacoustic and electrical sensing technologyRecurrent Neural Network(RNN)regularization
NETL
NSTL
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