Intelligent Interpretation for Geological Disasters (PDF)
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This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "ground, airspace, and space-based systems" and different scales of "target-semantic-region". The main contents include:
1) Intelligent interpretation theory and methods of geological disasters,
2) Intelligent analysis of landslide based on long-term ground monitoring data,
3) Deep learning-based remote sensing detection of landslide,
4) Intelligent analysis of landslide evolution based on optical satellite remote sensing data,
5) Intelligent assessment methods of landslide susceptibility,
6) Intelligent recognition of ground figure based on airspace-based remote sensing data,
The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.
Dr. Cheng Zhong is an associate professor at the Badong National Observation and Research Station of Geohazards, China University of Geosciences (CUG). He received B.E. in geographical information system from Wuhan University in 2004 and Ph.D. in photogrammetry and remote sensing from Wuhan University in 2009. He has more than 10 years' experiences in remote sensing of geohazards with machine learning techniques. Funded by National Science Fund of China, Science and Technology Department of Wuhan City, he has published more than 30 peer-reviewed papers in known journals. He is the member of Geological Society of China, Seismological Society of Hubei, etc., and severed as a reviewer for tens of prestigious journals, awards, and funds.
Dr. Xuwen Qin is the researcher in China Geological Survey that has been awarded as "Li Siguang Scholar". He has been researching on the theory, technical equipment, and applications of remote sensing and physical detection in geological survey and has made breakthroughs in many key technologies. He also acquired many high-level achievements in the
Dr. Lizhe Wang is a full professor at the School of Computer Science, China University of Geosciences (CUG). He received the B.E. and M.E. degrees from Tsinghua University, Beijing, China, and the Doctor of Eng. degree from University Karlsruhe (Magna Cum Laude), Germany. He is a ChuTian chair professor at the School of Computer Science, China University of Geosciences, Wuhan, China. His research interests include HPC, e-Science, and remote sensing image processing. Prof. Wang is a fellow of IET, IEEE, SPIE, and British Computer Society. 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 also awarded National Science Fund for Distinguished Young Scholars in 2019 and European Academy of Sciences in 2022.
- Autoren: Weitao Chen , Cheng Zhong , Xuwen Qin , Lizhe Wang
- 2023, 1st ed. 2023, 233 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819958229
- ISBN-13: 9789819958221
- Erscheinungsdatum: 12.09.2023
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- Größe: 7.33 MB
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