书目名称 | Remote Sensing Intelligent Interpretation for Geology |
副标题 | From Perspective of |
编辑 | Weitao Chen,Xianju Li,Lizhe Wang |
视频video | http://file.papertrans.cn/827/826897/826897.mp4 |
概述 | Presents interpretable intelligence interpretation theory on remote sensing geology.Constructs geological remote sensing datasets from multi-level as a basis for intelligent interpretation.Presents no |
图书封面 |  |
描述 | .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.. |
出版日期 | Book 2024 |
关键词 | Geological exploration; multimodal remote sensing; Geology intelligent interpretation; Interpretable de |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-8997-3 |
isbn_softcover | 978-981-99-8999-7 |
isbn_ebook | 978-981-99-8997-3 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |