Intelligent Hyperspectral Remote Sensing
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Intelligent Hyperspectral Remote Sensing
Mon, 22/07/2019 - 11:00 to 12:00
Location:
Speaker:
Dr. Lianru GAO
Affiliation:
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Synopsis:
The intelligent hyperspectral remote sensing (IHRS) is a new perspective for an Earth Observation (EO) satellite system. The technical design of IHRS will include the following characteristics: 1) a fore-field pre judgment sensor for regional background information acquisition, which will enforce the capacity of the system to adapt to different scenarios and problems; 2) an advanced and adjustable hyperspectral sensor, which will be able to provide detailed surface observations using optimum data acquisition parameters; and 3) an onboard real-time data processing and analysis subsystem, with the capacity to provide real time remote sensing products. Moreover, some adaptive methods also should be considered in hyperspectral image information extraction, such as dimensionality reduction, image classification, spectral unmixing, and target detection.
Biography:
Lianru Gao received the B.S. degree in civil engineering from Tsinghua University, Beijing, China, in 2002, and the Ph.D. degree in cartography and geographic information system from Institute of Remote Sensing Applications, Chinese Academy of Sciences (CAS), Beijing, China, in 2007. He is currently a Professor with the Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, CAS. He also has been a visiting scholar at the University of Extremadura, Cáceres, Spain, in 2014, and at the Mississippi State University (MSU), Starkville, USA, in 2017. His research focuses on models and algorithms for hyperspectral image processing, analysis and applications. In last ten years, He was the PI of 10 scientific research projects at national and ministerial levels, including projects by the National Natural Science Foundation of China (2010-2012, 2016-2019, 2018-2020), and by the Key Research Program of the CAS (2013-2015) et al. He has published more than 130 peer-reviewed papers, and there are 60 journal papers included by Science Citation Index (SCI). He was coauthor of an academic book entitled “Hyperspectral Image Classification And Target Detection”. He obtained 22 National Invention Patents and 4 Software Copyright Registrations in China. He was awarded the Outstanding Science and Technology Achievement Prize of the CAS in 2016, and was awarded the China National Science Fund for Excellent Young Scholars in 2017, and won the Second Class Prizes of The National Scientific and Technological Progress Award in 2018. He is the senior member of IEEE, and received the recognition of the Best Reviewers of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing in 2015, and the Best Reviewers of the IEEE Transactions on Geoscience and Remote Sensing in 2017.