Remote Sensing Intelligent Interpretation for Geology From Perspective of Geological Exploration /
This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remo...
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| Hlavní autoři: | , , , |
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Vydání: | 1st ed. 2024. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-981-99-8997-3 |
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Obsah:
- Chapter 1. Geological remote sensing: An overview
- Chapter 2. Remote sensing interpretation signs of geology
- Chapter 3. Geological remote sensing dataset construction for multi-level tasks
- Chapter 4. Lithology pixel classification using deep convolutional network and remote sensing
- Chapter 5 Lithology scene classification using deep learning and remote sensing
- Chapter 6. Lithology semantic segmentation methods using deep learning and remote sensing
- Chapter 7. Lithology intelligent classification using prior knowledge-based and remote sensing
- Chapter 8. Lithology intelligent classification using transfer learning and remote sensing
- Chapter 9. Remote sensing intelligent identification of fault tectonics
- Chapter 10. Mineral abundance inversion based on sparse unmixing theory and hyperspectral remote sensing
- Chapter 11. Concluding remarks.