It takes the average reader to read Remote Sensing Intelligent Interpretation for Geology by Weitao Chen
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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.
Remote Sensing Intelligent Interpretation for Geology by Weitao Chen is 0 pages long, and a total of 0 words.
This makes it 0% the length of the average book. It also has 0% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes to read Remote Sensing Intelligent Interpretation for Geology aloud.
Remote Sensing Intelligent Interpretation for Geology is suitable for students ages 2 and up.
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