Flying objects Classification Using Trajectory Images and Convolutional Neural Network
Author:
Affiliation:
1. University of Tunis, ENSIT,Laboratory of Signal Image and Energy Mastery (SIME), LR 13ES03,Tunisia,1008
2. Military Research Center,Science and Technology for Defense lab (STD),Tunis,Tunisia,2045
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10117588/10118357/10118358.pdf?arnumber=10118358
Reference17 articles.
1. Moving object detection based on kirsch operator combined with Optical Flow
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Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Flying Objects Classification Using Trajectory Characterization;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03
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