IEEE Geoscience and Remote Sensing Magazine - March 2023 - 62

cum laude) through the Signal Processing in Earth Observation
project, Technical University of Munich, Munich, Germany,
in 2019. He is currently a professor with the Aerospace
Information Research Institute, Chinese Academy of Sciences
(CAS), Beijing 100094 China. Before joining the CAS, he was a
research scientist and led the Spectral Vision Working Group,
Remote Sensing Technology Institute, German Aerospace Center,
Oberpfaffenhofen, Germany. He was also an adjunct scientist
at the Grenoble Images Speech Signal and Control lab,
University of Grenoble Alpes, Grenoble, France. His research
interests include signal/image processing, hyperspectral remote
sensing, machine/deep learning, artificial intelligence,
and their applications in Earth vision. He is an associate editor
of IEEE Transactions on Geoscience and Remote Sensing (TGRS)
and editorial board member and editorial advisory board
member of ISPRS Journal of Photogrammetry and Remote Sensing.
He was a recipient of the 2021 and 2022 IEEE TGRS Best
Reviewer Award, 2021 and 2022 IEEE Journal of Selected Topics
in Applied Earth Observations and Remote Sensing Best Reviewer
Award, 2021 Jose Bioucas Dias Award for an outstanding
paper at the IEEE Workshop on Hyperspectral Image and
Signal Processing: Evolution in Remote Sensing, 2022 Remote
Sensing Young Investigator Award, and 2022 IEEE Geoscience
and Remote Sensing Society Early Career Award, and he was a
highly cited researcher (Clarivate Analytics/Thomson Reuters)
in 2022. He is a Senior Member of IEEE.
Zhu Han (hanzhu19@mails.ucas.ac.cn) received her B.S.
degree in electrical engineering from North China University
of Technology, Beijing, China, in 2019. She is pursuing
her Ph.D. degree in cartography and geographic information
systems at the Key Laboratory of Computational Optical
Imaging Technology, Aerospace Information Research
Institute, Chinese Academy of Sciences, Beijing 100094
China. Her research interests include hyperspectral image
processing, deep learning, and artificial intelligence. She is
a Student Member of IEEE.
Jiaxin Li (lijiaxin203@mails.ucas.ac.cn) received his
B.E. degree from Chongqing University, Chongqing, China,
in 2020. He is currently pursuing his Ph.D. degree in
cartography and geographic information systems with the
Key Laboratory of Computational Optical Imaging Technology,
Aerospace Information Research Institute, Chinese
Academy of Sciences, Beijing 100094 China. His research
interests include multimodal remote sensing data fusion,
hyperspectral image processing, and deep learning.
Jing Yao (yaojing@aircas.ac.cn) received his Ph.D. degree
in mathematics from Xi'an Jiaotong University, Xi'an,
China, in 2021. He is currently an assistant professor with
the Key Laboratory of Computational Optical Imaging
Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100094 China. From
2019 to 2020, he was a visiting student at the Signal Processing
in Earth Observation project, Technical University
of Munich, Munich, Germany, and the Remote Sensing
Technology Institute, German Aerospace Center, Oberpfaffenhofen,
Germany. His research interests include
62
hyperspectral and multimodal remote sensing image analysis,
mainly including optimization and deep learningbased
methods for image processing and interpretation
tasks. He was the recipient of the 2021 Jose Bioucas Dias
Award for an outstanding paper at the IEEE Workshop on
Hyperspectral Imaging and Signal Processing: Evolution in
Remote Sensing. He serves as a guest editor of Remote Sensing
and is a Member of IEEE.
Lianru Gao (gaolr@aircas.ac.cn) received his B.S. degree
in civil engineering from Tsinghua University, Beijing,
China, in 2002, and Ph.D. degree in cartography and geographic
information systems from the Institute of Remote
Sensing Applications, Chinese Academy of Sciences (CAS),
Beijing, China, in 2007. He is currently a professor with the
Key Laboratory of Computational Optical Imaging Technology,
Aerospace Information Research Institute, CAS, Beijing
100094 China. He was a visiting scholar at the University of
Extremadura, Cáceres, Spain, in 2014 and Mississippi State
University, Starkville, MS, USA, in 2016. His research interests
include hyperspectral image processing and information
extraction. In the past 10 years, he has been the principle
investigator of 10 scientific research projects at national and
ministerial levels, including projects by the National Natural
Science Foundation of China (2016-2019, 2018-2020, and
2022-2025) and Key Research Program of the CAS (2013-
2015). He has published more than 180 peer-reviewed papers
and has more than 100 journal papers in the Science Citation
Index. He was a coauthor of three academic books, including
Hyperspectral Image Information Extraction, and has obtained
29 national invention patents in China. He was awarded the
2016 CAS Outstanding Science and Technology Achievement
Prize, was supported by the China National Science Fund for
Excellent Young Scholars in 2017, and won a second-place
2018 State Scientific and Technological Progress Award. He
was a bester reviewer of IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing in 2015 and IEEE
Transactions on Geoscience and Remote Sensing in 2017. He is a
Senior Member of IEEE.
Bing Zhang (zb@radi.ac.cn) received his B.S. degree
in geography from Peking University, Beijing, China,
in 1991 and M.S. and Ph.D. degrees in remote sensing
from the Institute of Remote Sensing Applications, Chinese
Academy of Sciences (CAS), Beijing, China, in 1994
and 2003, respectively. Currently, he is a full professor
at and the deputy director of the Aerospace Information
Research Institute, CAS, Beijing 100094 China, where he
has led numerous scientific projects in the area of hyperspectral
remote sensing for more than 25 years. His research
interests include the development of mathematical
and physical models and image processing software
for the analysis of hyperspectral remote sensing data in
many areas. He has developed five software systems for
image processing and applications. His achievements
were rewarded with 10 prizes from the Chinese government
and special allowances from the Chinese State
Council. He was recognized with the 2013 National
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MARCH 2023
IEEE Geoscience and Remote Sensing Magazine - March 2023

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