IEEE Geoscience and Remote Sensing Magazine - September 2022 - 144

AUTHOR INFORMATION
Linlin Zhang (zhanglinlin@my.swjtu.edu.cn) received her
B.S. degree from Wuhan University in 2016, and her M.S.
degree from Southwest Jiaotong University in 2019. She is
now pursuing her Ph.D. degree in the Faculty of Geosciences
and Environmental Engineering, Southwest Jiaotong
University, Chengdu, 611756, China. Her research interests
include synthetic aperture radar imagery processing and
object detection.
Gui Gao (dellar@126.com) received his B.S., M.S., and
Ph.D. degrees from the National University of Defense
Technology (NUDT), Changsha, China, in 2002, 2003,
and 2007, respectively. In 2007, he joined the Faculty of
Information Engineering, School of Electronic Science and
Engineering, NUDT, as an associate professor. In 2017, he
joined the Faculty of Geosciences and Environmental Engineering,
Southwest Jiaotong University, Chengdu, 611756,
China, where he is currently a professor. He has authored
more than 100 journal and conference papers and written
four books and an English chapter. He is a Member of IEEE,
the IEEE Geoscience and Remote Sensing Society, and the
Applied Computational Electromagnetics Society; a senior
member of the Chinese Institute of Electronics (CIE); and
a dominant member of the CIE Young Scientist Forum.
He has received numerous awards, including the Excellent
Master Thesis of Hunan Province in 2006, Excellent Doctor
Thesis in 2008, and Outstanding Young People in NUDT
and Hunan Province of China in 2014 and 2016 as well as
a first-class Prize of Science and Technology Progress and
a Natural Science in Hunan Province award. He was also
selected as a Young Talent of Hunan in 2016 and supported
by the Excellent Young People Science Foundation of the
National Natural Science Foundation of China. He is the
lead guest editor of International Journal of Antenna and Propagation,
the guest editor of Remote Sensing, and an associate
editor and the lead guest editor of IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing, and
he is on the editorial board of Chinese Journal of Radars. He
was also the cochair of several conferences in the field of
remote sensing. He was the Excellent Reviewer for Journal of
Xi'an Jiaotong University in 2013.
Chao Chen (chenc1997@nudt.edu.cn) received his B.E.
degree in industrial engineering from Beihang University,
Beijing, in 2001 and Ph.D. degree in management science
and engineering from the National University of Defense
Technology (NUDT), Changsha, China, in 2007. In 2008,
he joined the Science and Technology on Information Systems
Engineering Laboratory, School of Systems Engineering,
NUDT, as an associate professor. He is a professor in
the College of Systems Engineering, NUDT, Changsha,
410082, China. He has authored more than 50 journal and
conference papers and written four books. His research interests
include multiobjective optimization, target recognition,
and machine learning.
Sheng Gao (gaosh8899@126.com) was born in Jining,
Inner Mongolia, China, in 1979. He received his B.S.
144
and M.S. degrees from the Inner Mongolia University of
Science and Technology, Huhehot, 010000, China, in
2002 and 2013, respectively, where he is currently pursuing
his Ph.D. degree in energy and the environment.
His research interests include image processing and pattern
recognition.
Libo Yao (ylb_rs@s126.com) received his B.S., M.S.,
and Ph.D. degrees from Shandong University, the PLA
Information Engineering University of China, and the
Naval Aviation University of China in 2003, 2006, and
2019 respectively. He is now an associate professor at the
Institute of Information Fusion, Naval Aviation University
of China, Yantai, 264001, China. His research interests
include satellite remote sensing information fusion and
onboard processing.
REFERENCES
[1] R. K. Raney, " Comparing compact and quadrature polarimetric
SAR performance, " IEEE Geosci. Remote Sens. Lett., vol. 13,
no. 6, pp. 861-864, 2016, doi: 10.1109/LGRS.2016.2550863.
[2]
J. J. Van Zyl, H. A. Zebker, and C. Elachi, " Imaging radar polarization
signatures: Theory and observation, " Radio Sci., vol. 22,
no. 4, pp. 529-543, 1987, doi: 10.1029/RS022i004p00529.
[3] G. Gao, H.-C. Li, S. R. Cloude, J. Yang, and F. Nunziata, " Foreword
to the special issue on compact polarimetric SAR, " IEEE
J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 12, no. 10, pp.
3708-3711, 2019, doi: 10.1109/JSTARS.2019.2949186.
[4] A.-B. Salberg, Ø. Rudjord, and A. H. S. Solberg, " Oil spill detection
in hybrid-polarimetric SAR images, " IEEE Trans. Geosci. Remote
Sens., vol. 52, no. 10, pp. 6521-6533, 2014, doi: 10.1109/
TGRS.2013.2297193.
[5] P. Spudis et al., " Mini-SAR: An imaging radar experiment for
the Chandrayaan-1 mission to the Moon, " Current Sci., vol. 96,
no. 4, pp. 533-539, 2009.
[6] R. K. Raney et al., " The lunar mini-RF radars: Hybrid polarimetric
architecture and initial results, " Proc. IEEE, vol. 99, no.
5, pp. 808-823, 2010, doi: 10.1109/JPROC.2010.2084970.
[7] T. Misra et al., " Synthetic Aperture Radar payload on-board RISAT-1:
Configuration, technology and performance, " Current
Sci., vol. 104, no. 4, pp. 446-461, 2013.
[8]
T. Misra and A. Kirankumar, " RISAT-1: Configuration and
performance evaluation, " in Proc. 2014 31st URSI General Assembly
Scientific Symp. (URSI GASS), pp. 1-4, doi: 10.1109/URSI
GASS.2014.6929612.
[9]
Y. Kankaku, S. Suzuki, and Y. Osawa, " ALOS-2 mission and development
status, " in Proc. 2013 IEEE Int. Geosci. Remote Sens.
Symp. - IGARSS, pp. 2396-2399, doi: 10.1109/IGARSS.2013.
6723302.
[10] A. Donnellan et al., " Deformation, ecosystem structure, and
dynamics of ice (DESDynI), " in Proc. 2008 IEEE Aerosp. Conf.,
pp. 1-13, doi: 10.1109/AERO.2008.4526249.
[11] R. K. Raney, " DESDynI adopts hybrid polarity SAR architecture, "
in Proc. 2009 IEEE Radar Conf., pp. 1-4, doi: 10.1109/RA
DAR.2009.4977046.
[12] A. E. Giraldez, " Saocom-1 Argentina L band SAR mission overview, "
in Proc. Coastal Marine Appl. SAR Symp., 2003.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE SEPTEMBER 2022
IEEE Geoscience and Remote Sensing Magazine - September 2022

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