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Details for: Chen W. Remote Sensing Intelligent Interpretation for Geology...2024

chen w remote sensing intelligent interpretation geology 2024

Type:: E-books
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Size:: 9.6 MB
Uploaded On:: April 30, 2025, 2:06 p.m.
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Info Hash:: F9A2EAE46E71876D72A6DFB1BE90C4EEF92852F7

Textbook in PDF format 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

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Chen W. Remote Sensing Intelligent Interpretation for Geology...2024.pdf 9.6 MB

Details for: Chen W. Remote Sensing Intelligent Interpretation for Geology...2024

chen w remote sensing intelligent interpretation geology 2024

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