Open AccessResearch on Small Target Recognition Technology Based on Deep Learning
Author(s) -
Yuewu Li,
HU Jian-wang,
Bing Ji
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022119
Subject(s) - deep learning , artificial intelligence , computer science , bottleneck , field (mathematics) , machine learning , automatic target recognition , pattern recognition (psychology) , mathematics , pure mathematics , embedded system , synthetic aperture radar
All small target recognition has always been a difficult problem in the field of target recognition. Traditional target detection methods have met a bottleneck. With the development of deep learning, the field of target recognition has witnessed a boom based on deep learning. According to the characteristics of the small target recognition, this paper briefly introduces the traditional target recognition method, and studies the methods of target detection based on the deep learning. It mainly summarized the development of research on target detection algorithm based on deep learning. Finally, it summarized the influence of the depth study on target recognition and the trend of development in the future.