IEEE Geoscience and Remote Sensing Magazine - June 2021 - 80

was an Alexander von Humboldt fellow, working at the
German Aerospace Center, Oberpfaffenhofen, Germany,
and at the Technical University of Munich, Munich, Germany.
He won first place in the 2017 IEEE Geoscience and
Remote Sensing Society Data Fusion Contest organized
by the IEEE Image Analysis and Data Fusion Technical
Committee (IADF TC). He is currently chair (2019-2021)
and was a cochair (2017-2019) of the IEEE Geoscience
and Remote Sensing Society (GRSS) IADF TC; he has also
been the secretary of the IEEE GRSS All Japan Joint Chapter
since 2018. He has been an associate editor for IEEE
Journal of Selected Topics in Applied Earth Observations and
Remote Sensing (JSTARS) since 2018. He was a guest editor
for IEEE JSTARS in 2015-2016, for IEEE Geoscience and Remote
Sensing Magazine in 2016-2020, and for IEEE Geoscience
and Remote Sensing Letters in 2018-2019. His research
is focused on the development of image processing, data
fusion, and machine learning algorithms for understanding
remote sensing images, with applications to disaster
management. He is a Member of IEEE.
Jing Yao (jasonyao92@gmail.com) received his B.Sc. degree
from Northwest University, Xi'an, China, in 2014, and
his Ph.D. degree from the School of Mathematics and Statistics,
Xi'an Jiaotong University, Xi'an, China, in 2021. He
is currently an assistant professor with the Key Laboratory
of Digital Earth Science, Aerospace Information Research
Institute, Chinese Academy of Sciences, Beijing, 100094,
China. From 2019 to 2020, he was a visiting student at the
Technical University of Munich, Munich, Germany, and at
the Remote Sensing Technology Institute, German Aerospace
Center, Oberpfaffenhofen, Germany. He received
the outstanding paper award (the first Jose Bioucas Dias
award) of the Workshop on Hyperspectral Imaging and
Signal Processing: Evolution in Remote Sensing in 2021.
His research interests include low-rank modeling, hyperspectral
image analysis, and deep learning-based image
processing methods.
Lianru Gao (gaolr@aircas.ac.cn) received his B.S. degree
in civil engineering from Tsinghua University, Beijing,
China, in 2002 and his Ph.D. degree in cartography and
geographic information systems from the Institute of Remote
Sensing Applications, Chinese Academy of Sciences
(CAS), in 2007. He is currently a professor with the Key
Laboratory of Digital Earth Science, Aerospace Information
Research Institute, CAS, Beijing, 100094, China. He
has also been a visiting scholar at the University of Extremadura,
Cáceres, Spain, in 2014, and at Mississippi
State University, Starkville, Mississippi, USA, in 2016. In
the past 10 years, he has been the principal investigator
of 10 scientific research projects at the national and ministerial
levels, including projects by the National Natural
Science Foundation of China (2010-2012, 2016-2019,
and 2018-2020) and by the Key Research Program of
CAS (2013-2015). He has published more than 160 peerreviewed
papers, and more than 80 journal papers are included
by Science Citation Index. He was coauthor of the
80
academic book Hyperspectral Image Classification and Target
Detection. He has obtained 28 national invention patents
in China. He was awarded the Outstanding Science and
Technology Achievement Prize of CAS in 2016, was supported
by the China National Science Fund for Excellent
Young Scholars in 2017, and came in second place for the
State Scientific and Technological Progress Award in 2018.
He received recognition as a best reviewer of IEEE Journal
of Selected Topics in Applied Earth Observations and Remote
Sensing in 2015 and of IEEE Transactions on Geoscience and
Remote Sensing in 2017. His research focuses on hyperspectral
image processing and information extraction. He is a
Senior Member of IEEE.
Liangpei Zhang (zlp62@whu.edu.cn) received his B.S.
degree in physics from Hunan Normal University, Changsha,
China, in 1982, his M.S. degree in optics from Xi'an
Institute of Optics and Precision Mechanics, Chinese
Academy of Sciences, Xi'an, China, in 1988, and his Ph.D.
degree in photogrammetry and remote sensing from Wuhan
University, Wuhan, China, in 1998. Currently, he is
a Chang-Jiang Schola Chair Professor, appointed by the
Ministry of Education of China, in the State Key Laboratory
of Information Engineering in Surveying, Mapping,
and Remote Sensing, Wuhan University, Wuhan, 430072,
China. Previously, he was a principal scientist for the
China State Key Basic Research Project (2011-2016) and
was appointed by the Ministry of National Science and
Technology of China to lead the remote sensing program
in China. He has published more than 700 research papers
and five books. He is an Institute for Scientific Information
highly cited author and a Clarivate highly cited
researcher. He holds 30 patents. He was a recipient of the
2010 Best Paper Boeing Award, the 2013 Best Paper ERDAS
Award from the American Society of Photogrammetry
and Remote Sensing, the 2016 Best Paper Theoretical
Innovation Award from the International Society for Optics
and Photonics, the 2020 TGRS award, and the 2020
GRSS David Landgrebe Award from IEEE. His research
teams won the top three prizes at the IEEE Geoscience
and Remote Sensing Society (GRSS) 2014 Data Fusion
Contest, and his students have been selected as winners
or finalists of the IEEE International Geoscience and Remote
Sensing Symposium Student Paper Contest in recent
years. He also serves as an associate editor or editor
for more than 10 international journals. He is currently
serving as an associate editor for IEEE Transactions on Geoscience
and Remote Sensing. He is the founding chair of the
GRSS Wuhan Chapter. His research interests include hyperspectral
remote sensing, high-resolution remote sensing,
image processing, and artificial intelligence. He is a
fellow of the Institution of Engineering and Technology.
He is a Fellow of IEEE.
Jocelyn Chanussot (jocelyn@hi.is) received his M.Sc.
degree in electrical engineering from the Grenoble Institute
of Technology (Grenoble INP), Grenoble, France, and his
Ph.D. degree from Université de Savoie, Annecy, France, in
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE JUNE 2021
IEEE Geoscience and Remote Sensing Magazine - June 2021

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2021
