UAV Image Target Recognition Algorithm based on Machine Learning

Abstract Target recognition in aerial operation of unmanned aerial vehicle (UAV) has the characteristics of complex environment, easy deformation of moving image target, single target feature and small volume. To solve these problems, different advantages of visual saliency algorithm in time, space...

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Bibliographic Details
Published in:	Journal of physics. Conference series 2023-08, Vol.2558 (1), p.12009
Main Authors:	Yao, Nan, Qin, Jianhua, Zhao, Yuxi, Wu, Gang
Format:	Article
Language:	eng
Subjects:	Algorithms Feature extraction Machine learning Physics Support vector machines Target recognition Unmanned aerial vehicles
Online Access:	Get full text
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Summary:	Abstract Target recognition in aerial operation of unmanned aerial vehicle (UAV) has the characteristics of complex environment, easy deformation of moving image target, single target feature and small volume. To solve these problems, different advantages of visual saliency algorithm in time, space and frequency domains are studied. The candidate region of the target is extracted, and the final target is further determined by using region feature extraction and SVM. The recognition results on the test data sets show that the recall rate of the MDVS algorithm used in the study exceeds 99% on both test sets, and the F1 index is also above 85%. After adding SVM classifier for classification and recognition, the precision rate has been significantly improved, and the values of the three indicators have exceeded 90%. The recognition algorithm proposed for UAV images, compared with several common recognition algorithms, is effective and has better recognition effect and robustness.
ISSN:	1742-6588 1742-6596