Electronics Optics & Control, Volume. 28, Issue 10, 36(2021)
A Military Target Recognition Algorithm Based on Unsupervised Network
Military target recognition is a major research direction in the field of target detectionwhich is of great significance for early detection of enemy situation and accurate strike of the target.At presentthe mainstream military target recognition algorithms mainly use such unsupervised deep learning network models as YOLO and Fast RCNN.In these methodsthe manually-labeled datasets are inputted to the network and then processed to obtain the output.Howeverthe datasets have limited quantityunsatisfying accuracy and generalization ability.To solve these problemsthis paper proposes a military target recognition algorithm based on the unsupervised networkwhich effectively solves the problems of insufficient datasets and unsatisfying accuracy through Generative Adversarial Network (GAN).
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LI Xin, WANG Shengquan, LI Ang. A Military Target Recognition Algorithm Based on Unsupervised Network[J]. Electronics Optics & Control, 2021, 28(10): 36
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Received: Sep. 9, 2020
Accepted: --
Published Online: Nov. 8, 2021
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