Remote Sensing Intelligent Interpretation for Geology is popular PDF and ePub book, written by Weitao Chen in 2024-01-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Remote Sensing Intelligent Interpretation for Geology can be Read Online from any device for your convenience.
Remote Sensing Intelligent Interpretation for Geology Book PDF Summary
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.
Detail Book of Remote Sensing Intelligent Interpretation for Geology PDF
- Author : Weitao Chen
- Release : 03 January 2024
- Publisher : Springer Nature
- ISBN : 9789819989973
- Genre : Computers
- Total Page : 240 pages
- Language : English
- PDF File Size : 12,6 Mb
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