Remote Sensing Intelligent Interpretation for Geology

Chapter 1. Geological remote sensing: An overview.- Chapter 2. Remote sensing interpretation signs of geology.- Chapter 3. Geological remote sensing dataset construction for multi-level tasks.- Chapter 4. Lithology pixel classification using deep convolutional network and remote sensing.- Chapter 5 Lithology scene classification using deep learning and remote sensing.- Chapter 6. Lithology semantic segmentation methods using deep learning and remote sensing.- Chapter 7. Lithology intelligent classification using prior knowledge-based and remote sensing.- Chapter 8. Lithology intelligent classification using transfer learning and remote sensing.- Chapter 9. Remote sensing intelligent identification of fault tectonics.- Chapter 10. Mineral abundance inversion based on sparse unmixing theory and hyperspectral remote sensing.- Chapter 11. Concluding remarks.

Dr. Weitao Chen (Member, IEEE) is a full professor at the School of Computer Science, China Univ. of Geosciences (CUG). He received M.E. in 2006 and Doctor from China Univ. of Geosciences in 2012. He has published more than 50 peer-reviewed technical papers in international journals. His main research interests include machine learning and remote sensing of geo-environment. Prof. Chen is a member of IEEE and served as editor on board and 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 the China University of Geosciences and the "Chenguang plan" talent project of Youth Science and Technology in Wuhan, Hubei Province.

Dr. Xianju Li is an associate professor at the School of Computer Science, the China University of Geosciences (CUG). He received B.E. in 2009, M.E. in 2012, and Ph.D. in 2016 from the China University of Geosciences, Wuhan. He has more than ten years of experience in geological remote sensing with machine learning and deep learning techniques. He has acquired two 2nd Prizes at the provincial level and published more than 30 peer-reviewed papers.

Dr. Xuwen Qin is a researcher in the China Geological Survey who 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 realm of terrestrial and deep-ocean geological hazards. Related works were collected in the China Top 10 Science and Technology Development, selected by the members of the Chinese