Remote Sensing Intelligent Interpretation for Mine Geological Environment

20.08.2023

Englisch

9789811937415

Springer Singapore

Nein

Weitao Chen, Xianju Li, Lizhe Wang

246

Broschiert

From Land Use and Land Cover Perspective

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

Mine environment, Target detection, Scene classification, semantic segmentation, mine dataset, machine learning on mining, deep learning on mining, remote sensing on mining

RGW - Geographische Informationssysteme (GIS) und Fernerkundung UYQM - Maschinelles Lernen TJF - Elektronik UYS - Digitale Signalverarbeitung (DSP) RBG - Geologie und die Lithosphäre TQD - Umweltüberwachung (Umwelt-Monitoring)

235 mm

15.5 cm