Explainable artificial intelligence models for enhancing classification reliability of ground weapon systems

Explainable artificial intelligence models for enhancing classification reliability of ground weapon systems

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This study focused on the development of a reliable artificial intelligence (AI) model to enhance the classification reliability of ground weapon systems for surveillance and reconnaissance applications. The proposed AI model overcomes the limited data availability of military objects such as tanks...

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Bibliographic Details
Main Authors:	Gimin Bae, Janghyong Lee
Format:	Article
Language:	English
Published:	Institute of Defense Acquisition Program 2023-12-01
Series:	선진국방연구
Subjects:	classification of ground weapon systems explainable artificial intelligence transfer learning MobileNet Grad-CAM
Online Access:	https://150.95.154.243/index.php/JAMS/article/view/216

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