Intelligent Interpretation for Geological Disasters
Produktnummer:
18c86246b5c12441bdbc3e6e8c32e6c834
| Autor: | Chen, Weitao Qin, Xuwen Wang, Lizhe Zhong, Cheng |
|---|---|
| Themengebiete: | Deep learning Geological disaster Machine learning Remote sensing Semantic segmentation Target detection Time series analysis Vulnerability assessment |
| Veröffentlichungsdatum: | 13.09.2023 |
| EAN: | 9789819958214 |
| Sprache: | Englisch |
| Seitenzahl: | 233 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
| Untertitel: | From Space-Air-Ground Integration Perspective |
Produktinformationen "Intelligent Interpretation for Geological Disasters"
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) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide,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.
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