Intelligent Interpretation for Geological Disasters
From Space-Air-Ground Integration Perspective
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Beschreibung
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,
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.
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.
Combines both remote sensing and artificial intelligent from an interdisciplinary standpoint Collects multi-source data from ground, airspace, and space-based systems and uses deep learning technology Utilizes deep learning for high-precision recognition, monitoring, and assessment of typical geological disasters
Autor*in
Weitao Chen
Themen in »Intelligent Interpretation for Geological Disasters«
Vulnerability assessment Geological disaster Machine learning Deep learning Time series analysis Target detection Semantic segmentation Remote sensing