Deep learning fine-grained material identification method based on millimeter wave radar

The invention discloses a deep learning fine-grained material identification method based on a millimeter wave radar, and the method comprises the following steps: 1, constructing a fine-grained material identification system RF-MID based on a deep learning network model, which comprises a data recombination module, a signal preprocessing module, a material feature extraction module and a classifier module; 2, a data recombination module recombines the reflected signals received by the millimeter wave radar into three-dimensional data blocks; 3, the signal preprocessing module adopts a variational auto-encoder model to carry out preprocessing and denoising on the input three-dimensional data block; 4, a material feature extraction module extracts high-dimensional feature information from the preprocessed three-dimensional data block by using a three-dimensional complex value expansion convolutional network, and generates a feature map representing material differences; and 5, the classifier module compresses