Object Recognition Using Non-Negative Matrix Factorization with Sparseness Constraint and Neural Network

Object Recognition Using Non-Negative Matrix Factorization with Sparseness Constraint and Neural Network

UAVs (unmanned aerial vehicles) have been widely used in many fields, where they need to be detected and controlled. Small-sample UAV recognition requires an effective detecting and recognition method. When identifying a UAV target using the backward propagation (BP) neural network, fully connected...

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Bibliographic Details
Main Authors: Songze Lei, Boxing Zhang, Yanhong Wang, Baihua Dong, Xiaoping Li, Feng Xiao
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Information
Subjects:
non-negative matrix factor (NMF)
sparseness constraint
back propagation (BP) neural network
feature dimension reduction
Online Access:https://www.mdpi.com/2078-2489/10/2/37

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https://www.mdpi.com/2078-2489/10/2/37

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