Classification of UAV-to-Ground Vehicles Based on Micro-Doppler Signatures Using Singular Value Decomposition and Deep Convolutional Neural Networks.
Lingzhi ZhuShuning ZhangHuichang ZhaoSi ChenDongxu WeiXiangyu LuPublished in: IEEE Access (2019)
Keyphrases
- singular value decomposition
- dimension reduction
- singular values
- convolutional neural networks
- least squares
- pattern recognition
- latent semantic indexing
- low rank
- image classification
- dimensionality reduction
- machine learning
- path planning
- feature vectors
- support vector machine
- principal component analysis
- support vector machine svm
- feature extraction
- unmanned aerial vehicles
- model selection
- feature space
- low rank approximation
- knn
- support vector
- data matrix
- feature selection