eBook - ePub
Multimodal Remote Sensing Fusion and Classification
Algorithms and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Multimodal Remote Sensing Fusion and Classification
Algorithms and Applications
About this book
Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences.Furthermore, the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.
- Provides a holistic overview of Multimodal Remote Sensing, from data acquisition, preprocessing, fusion techniques, analysis methodologies, and diverse applications
- Includes real-world case studies and examples, showcasing the application of multimodal remote sensing in various fields
- Emphasizes future perspectives and emerging technologies, providing readers with forward-thinking applications and their potential impact on the field
Information
Subtopic
Geology & Earth SciencesTable of contents
- Title of Book
- Chapter 1: Introduction – understanding multimodal remote sensing
- Chapter 2: Multimodal data preprocessing
- Chapter 3: Fusion techniques for multimodal remote sensing
- Chapter 4: Multisensor fusion
- Chapter 5: Classification algorithms for multimodal remote sensing
- Chapter 6: Change detection and monitoring
- Chapter 7: Applications in carbon neutrality
- Chapter 8: Applications in disaster monitoring
- Chapter 9: Applications in urban sensing for smart cities
- Chapter 10: Future perspectives and emerging technologies
- Index
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Yes, you can access Multimodal Remote Sensing Fusion and Classification by Man-On Pun,Xiaokang Zhang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Geology & Earth Sciences. We have over 1.5 million books available in our catalogue for you to explore.