Aircraft Wake Recognition and Strength Classification Based on Deep Learning-Reference-Cited by-同舟云学术

Aircraft Wake Recognition and Strength Classification Based on Deep Learning

Published:2023 Issue: Volume:16 Page:2237-2249
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Shen Chun¹^ORCID,Tang Weiwei²^ORCID,Gao Hang¹^ORCID,Wang Xuesong¹,Chan Pak-Wai³,Hon Kai-Kwong³^ORCID,Li Jianbing¹^ORCID

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, National University of Defense Technology, Changsha, China

2. Hunan Normal University, Changsha, Hunan, China

3. Hong Kong Observatory, Hong Kong, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10042040.pdf?arnumber=10042040

Reference40 articles.

1. Method of radial velocities for the estimation of aircraft wake vortex parameters from data measured by coherent Doppler lidar