Buch, Englisch, Format (B × H): 152 mm x 229 mm
Buch, Englisch, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-443-26484-9
Verlag: Elsevier Science & Technology
Structured for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Geowissenschaften Geologie GIS, Geoinformatik
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Geowissenschaften Geologie Geologie
Weitere Infos & Material
Section 1: Introduction to Multi-Sensor Data and Artificial Intelligence
1. Deep Learning for Multisensor Earth Observation: Introductory Notes
2. A Basic Introduction to Deep Learning
Section 2: Artificial Intelligence for Sensor-specific data analysis and fusion
3. Deep learning processing of remotely sensed multispectral images
4. Deep Learning and Hyperspectral Images
5. Synthetic Aperture Radar Image Analysis in Era of Deep Learning
6. Deep Learning with Lidar for Earth Observation
7. Several Sensors and Modalities
Section 3: Advanced Concepts and Architectures
8. Self-Supervised Learning for Multimodal Earth Observation Data
9. Vision Transformers and Multisensor Earth Observation
10. Graph Neural Networks for Multi-Sensor Earth Observation
11. Uncertainty Quantification in Deep Neural Networks for Multisensor Earth Observation
Section 4: Multi-sensor Deep Learning Applications
12. Multi-Sensor Deep Learning for Change Detection
13. Multi-Sensor Deep Learning for Glacier Mapping
14. Deep Learning in Multisensor Agriculture and Crop Management
15. Miscellaneous Applications of Deep Learning based Multisensor Earth Observation
16. Multi-Sensor Earth Observation: Outlook