Remote Sensing Intelligent Interpretation for Geology From Perspective of Geological Exploration

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Synopsis

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 remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing.  

The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.

Book details

Edition:
1st ed. 2024
Author:
Weitao Chen, Xianju Li, Xuwen Qin, Lizhe Wang
ISBN:
9789819989973
Related ISBNs:
9789819989966
Publisher:
Springer Nature Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-02-04
Usage restrictions:
Copyright
Copyright date:
2024
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Earth Sciences, Nonfiction