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Intelligent Interpretation for Geological Disasters From Space-Air-Ground Integration Perspective
Author
Title
Intelligent Interpretation for Geological Disasters [electronic resource] : From Space-Air-Ground Integration Perspective / by Weitao Chen, Cheng Zhong, Xuwen Qin, Lizhe Wang.
ISBN
9789819958221
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XII, 233 p.) 85 illus., 79 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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, 7) Intelligent monitoring of land subsidence in mining areas based on InSAR technology. 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.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Contents
Chapter 1. Geological disaster: An overview
Chapter 2. Research methods of geological disasters
Chapter 3. Principles and methods of intelligent interpretation of geological disasters
Chapter 4. Intelligent analysis of multi-source long-term landslide ground monitoring data
Chapter 5. Intelligent monitoring of landslides based on high-resolution optical remote sensing data
Chapter 6. Deep learning-based remote sensing monitoring of landslide
Chapter 7. Deep learning-based landslide susceptibility assessment
Chapter 8. Deep learning-based intelligent recognition of ground fissures
Chapter 9. Machine learning-based remote sensing monitoring of land subsidence in mining areas
Chapter 10. Concluding remarks.
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