Intelligent Interpretation for Geological Disasters From Space-Air-Ground Integration Perspective /

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 "groun...

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Bibliografski detalji
Glavni autori: Chen, Weitao (Autor), Zhong, Cheng (Autor), Qin, Xuwen (Autor), Wang, Lizhe (Autor)
Autor kompanije: SpringerLink (Online service)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Izdanje:1st ed. 2023.
Teme:
Online pristup:https://doi.org/10.1007/978-981-99-5822-1
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Sadržaj:
  • 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.