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A classification technique of group objects by artificial neural networks using estimation of entropy on synthetic aperture radar images
2021
Journal of Sensors and Sensor Systems
Abstract. The article discusses the method for the classification of non-moving group objects for information received from unmanned aerial vehicles (UAVs) by synthetic aperture radar (SAR). A theoretical approach to analysis of group objects can be estimated by cross-entropy using a naive Bayesian classifier. The entropy of target spots on SAR images revaluates depending on the altitude and aspect angle of a UAV. The paper shows that classification of the target for three classes able to
doi:10.5194/jsss-10-127-2021
fatcat:ko7shaf4sjbnlh2bt6agdcrfxm