General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach-Reference-Cited by-同舟云学术

General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach

Published:2022 Issue: Volume:10 Page:48778-48791
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Farhadmanesh Mohammad¹^ORCID,Rashidi Abbas¹,Markovic Nikola¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, The University of Utah, Salt Lake City, UT, USA

Funder

Utah Department of Transportation

Mountain-Plains Consortium

Airport Cooperative Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770072.pdf?arnumber=9770072

Reference54 articles.

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3. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;Proc Int Conf Mach Learn,2019

4. Fine-grained visual classification of aircraft;maji;arXiv 1306 5151,2013

5. A generalized higher order neural network for aircraft recognition in a video docking system

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