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.
General
| Imprint: |
Springer Verlag, Singapore
|
| Country of origin: |
Singapore |
| Release date: |
September 2023 |
| First published: |
2023 |
| Authors: |
Weitao Chen
• Cheng Zhong
• Xuwen Qin
• Lizhe Wang
|
| Dimensions: |
235 x 155mm (L x W) |
| Edition: |
1st ed. 2024 |
| ISBN-13: |
978-981-9958-21-4 |
| Categories: |
Books
Promotions
|
| LSN: |
981-9958-21-0 |
| Barcode: |
9789819958214 |
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