IEEE Geoscience and Remote Sensing Magazine - March 2023 - 22

ACKNOWLEDGMENT
This work was supported by the National Natural Science
Foundation of China under Grant 62101459; the
China Postdoctoral Science Foundation under Grant
BX2021248; the Fundamental Research Funds for the Central
Universities under Grant G2021KY05104; and a grant
of the Romanian Ministry of Education and Research,
CNCS-UEFISCDI, Project PN-III-P4-ID-PCE-2020-2120,
within PNCDI III. We would like to thank the associate
editor and the anonymous reviewers for their great contributions
to this article. Zhongling Huang is the corresponding
author.
AUTHOR INFORMATION
Mihai Datcu (mihai.datcu@dlr.de) received his M.S. and
Ph.D. degrees in electronics and telecommunications from
University Politehnica of Bucharest (UPB), Bucharest, Romania,
in 1978 and 1986, respectively, and the habilitation
a diriger des recherches degree in computer science from
the University Louis Pasteur, Strasbourg, France, in 1999.
He holds a professor position in artificial intelligence and
information theory with UPB, and he is a senior scientist
with the German Aerospace Center (DLR), Oberpfaffenhofen,
Wesling 82234, Germany. He elaborated Artificial
Intelligence for Earth Observation programs and systems
for the National Centre for Space Studies (Centre national
d'études spatiales), DLR, the European Commission, the
European Space Agency, NASA, and the Romanian Space
Agency. His research interests include explainable and
physics-aware AI, smart radar sensors design, and quantum
machine learning with applications in Earth Observation.
He was the recipient of the Chaire d'excellence internationale
Blaise Pascal 2017 for international recognition
in the field of data science in earth observation. He is a
Fellow of IEEE.
Zhongling Huang (huangzhongling@nwpu.edu.cn) received
her B.Sc. degree in electronic information science
and technology from Beijing Normal University, Beijing,
China, in 2015, and her Ph.D. degree from the University
of Chinese Academy of Sciences (UCAS) and the Aerospace
Information Research Institute, Chinese Academy
of Sciences, Beijing, China, in 2020. She served as a visiting
scholar in the German Aerospace Center during
2018-2019, funded by UCAS. She is currently working in
the Brain and Artificial Intelligence Lab, School of Automation,
Northwestern Polytechnical University, Xi'an
710072, China. Her research interests include explainable
deep learning for synthetic aperture radar (SAR),
SAR image interpretation, deep learning, and remote
sensing data mining.
Andrei Anghel (andrei.anghel@munde.pub.ro) received
his engineering degree (as valedictorian) and his M.S. degree
(with the highest grade) in electronic engineering and telecommunications
from the University Politehnica of Bucharest
(UPB), Bucharest, Romania, in 2010 and 2012, respectively.
He received the joint Ph.D. degree in signal, image, speech,
22
and telecommunications from the University of Grenoble
Alpes, Grenoble, France, and in electronic engineering and
telecommunications from UPB, Bucharest, Romania, in
2015 (awarded with the summa cum laude distinction). He
received the habilitation degree in electronic engineering,
telecommunications, and information technologies from
UPB, Bucharest, Romania, in 2020. Presently, he is a full
professor with the Department of Telecommunications,
UPB, Bucharest 060042, Romania. His research interests
include remote sensing, radar systems, microwaves, and
signal processing. In 2021, he was awarded the " Traian
Vuia " Prize by the Romanian Academy for his work on bistatic
radar systems with a fixed ground-based receiver and
spaceborne transmitter of opportunity. He is a Senior Member
of IEEE.
Juanping Zhao (juanpingzhao@sjtu.edu.cn) is with
the School of Electronic Information and Electrical Engineering,
Shanghai
Jiao Tong University, Shanghai
200240, China. Her research interests include artificial
intelligence for synthetic aperture radar and PolSAR image
interpretation, pattern recognition, and machine
learning. From 2018 to 2019, she was a visiting Ph.D. student
with the German Aerospace Center, Oberpfaffenhofen,
Germany.
Remus Cacoveanu (r_cacoveanu@yahoo.com) received
his M.S. degree in electronics and telecommunications
from the " Politehnica " University of Bucharest (UPB),
Bucharest, Romania, in 1983, and his Ph.D. degree in microwave,
optics, and optoelectronics from the Institut National
Politechnique de Grenoble, Grenoble, France, in
1997. He holds an associate professor position in telecommunications
with UPB, Bucharest 060042, Romania. For
more than 10 years, he was the technical lead of the Redline
Communications Romanian branch, and between 2011
and 2015, he was a technical consultant for Blinq Networks
Canada. His research interests include wireless communication
systems, antennas, radar sensors, propagation, and
microwave circuits. One of the designed products received
the Best of WiMAX World EMEA 2008 Industry Choice
Award, Munich, Germany, 21 May 2008.
REFERENCES
[1] A. Moreira, P. Prats-Iraola, M. Younis, G. Krieger, I. Hajnsek,
and K. P. Papathanassiou, " A tutorial on synthetic aperture radar, "
IEEE Geosci. Remote Sens. Mag. (replaced Newsletter), vol. 1,
no. 1, pp. 6-43, Mar. 2013, doi: 10.1109/MGRS.2013.2248301.
[2] A. Meta, P. Hoogeboom, and L. P. Ligthart, " Signal processing
for FMCW SAR, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 11,
pp. 3519-3532, Nov. 2007, doi: 10.1109/TGRS.2007.906140.
[3] M. Amrani, A. Bey, and A. Amamra, " New SAR target recognition
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IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MARCH 2023
http://dx.doi.org/10.1109/MGRS.2013.2248301 http://dx.doi.org/10.1109/TGRS.2007.906140 http://dx.doi.org/10.1080/01431161.2021.1953719
IEEE Geoscience and Remote Sensing Magazine - March 2023

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