Detection and Identification of Unexploded Ordnance Using a Two-Step Deep Learning Methodology-Reference-Cited by-同舟云学术

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Detection and Identification of Unexploded Ordnance Using a Two-Step Deep Learning Methodology

Published:2024-06-11 Issue: Volume: Page:257-262
ISSN:
Container-title:2024 32nd Mediterranean Conference on Control and Automation (MED)
language:
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Author:

Craioveanu Marian G.¹,Stamatescu Grigore¹

Affiliation:

1. National University of Science and Technology Politehnica of Bucharest,Department of Automation and Industrial Informatics,Bucharest,Romania,060042

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10566119/10566120/10566207.pdf?arnumber=10566207

Reference18 articles.

1. Retinal Blood Vessel Segmentation Using Pix2Pix GAN

2. Deep Learning based Parts Classification in a Cognitive Robotic Cell System

3. Ballistic Ground Penetrating Radar Equipment for Blast-Exposed Security Applications

4. Discrimination and classification of buried unexploded ordnance using magnetometry

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