Application of Convolutional Neural Network in Target Detection of Millimeter Wave Imaging
Hua Zong, Lifei Bao, Beijia Liu, Jinghui Qiu · 2018
This article focuses on the establishment of convolutional neural network model to achieve the detection of human concealment in millimeter wave images. The convolutional neural network is applied to the image data set for detection training, pictures are randomly selected for identification, and the target location is marked. This paper proves that convolutional neural network can be applied as a feasible general image detection technology to different detection problems.