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Remote Sensing Intelligent Interpretation for Mine Geological Environment

Cover von Remote Sensing Intelligent Interpretation for Mine Geological Environment

From Land Use and Land Cover Perspective

Chen, Weitao/Li, Xianju/Wang, Lizhe

Springer Verlag GmbH

181.89

(inklusive MwSt.)

Verfügbarkeit: Besorgungstitel, Festbezug

Autorenportrait

Dr. Weitao Chen (Member, IEEE) is a professor at the School of Computer Science, China Univ. of Geosciences (CUG). He received B.E. from Jiaozuo Institute of Technology in 2003, M.E from in 2006 and Doctor from China Univ. of Geosciences in 2012. He has published more than 30 peer-reviewed technical papers in international journals. His main research interests include machine learning and remote sensing of environment. Prof. Chen is a member of IEEE and served as a reviewer of several international journals. He was awarded the land and resources science and Technology Progress Award (second prize in 2019), and the science and technology Award (second prize) of China command and control society (second prize in 2020). He was awarded "cradle plan" talent project of China University of Geosciences and the "Chenguang plan" talent project of Youth Science and technology in Wuhan, Hubei Province Dr. Xianju Li received the B.S., M.S., and Ph.D. degrees from China University of Geoscience, Wuhan, China, in 2009, 2012, and 2016, respectively. Since 2016, he has been an associate professor in the School of Computer Science, China University of Geosciences. He has published more than 10 peer-reviewed technical papers in international journals. His main research fields include remote sensing image processing and analysis, computer vision, and machine learning. He was awarded the land and resources science and Technology Progress Award (second prize in 2019).

Weitere Details

Erschienen: 19.08.2022

Umfang: xii, 246 S., 21 s/w Illustr., 89 farbige Illustr.,

Sprache: ENG

Einband: GEB

ISBN/EAN: 9789811937385

Umbreit-Nr.: 5669600

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