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Deep Learning for Earth Observation and Climate Monitoring Hao Tang-Yong Wang-Uzair Aslam Bhatti-Mir Muhammad
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Deep Learning for Earth Observation and Climate Monitoring
Hao Tang-Yong Wang-Uzair Aslam Bhatti-Mir Muhammad
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics.
With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring. This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2025年6月9日 |
| ISBN13 | 9780443247125 |
| 出版社 | Elsevier - Health Sciences Division |
| ページ数 | 314 |
| 寸法 | 212 × 273 × 20 mm · 854 g |
| 編集者 | Bhatti, Uzair Aslam (Associate Professor, College of Information and Communication Engineering, Hainan University, Haikou, China) |
| 編集者 | Nizamani, Mir Muhammad (Guizhou University, China) |
| 編集者 | Tang, Hao (Hainan University, China) |
| 編集者 | Wang, Yong (Guizhou Agricultural College, China) |
