End-to-End ATR Leveraging Deep Learning

Matthew P. Masarik; Chris Kreucher; Kirk Weeks; Kyle G. Simpson

doi:10.1007/978-3-031-21225-3_1

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End-to-End ATR Leveraging Deep Learning

Matthew P. Masarik Chris Kreucher Kirk Weeks Kyle G. Simpson

Year: 2022 Springer optimization and its applications Pages: 1-23 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-21225-3_1

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Keywords:

Computer science Artificial intelligence Synthetic aperture radar Automatic target recognition Suite Deep learning Economic shortage Computer vision Orientation (vector space) Feature (linguistics) Image (mathematics) Pattern recognition (psychology) Geography

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Cited By

1.73

FWCI (Field Weighted Citation Impact)

Refs

0.89

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Is in top 1%

Is in top 10%

Citation History

Topics

Advanced SAR Imaging Techniques

Physical Sciences → Engineering → Aerospace Engineering

Synthetic Aperture Radar (SAR) Applications and Techniques

Physical Sciences → Engineering → Aerospace Engineering

Geophysical Methods and Applications

Physical Sciences → Engineering → Ocean Engineering

End-to-End ATR Leveraging Deep Learning

Metrics

Citation History

Topics

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