Buch, Englisch, 315 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 5706 g
Buch, Englisch, 315 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 5706 g
ISBN: 978-3-662-51614-0
Verlag: Springer
Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
Weitere Infos & Material
Basic theory and main processing techniques of hyperspectral remote sensing.- Classification technique for HSI.- Endmember extraction technique of HSI.- Spectral unmixing technique of HSI.- Sub-pixel mapping technique of HSI.- Super-resolution technique of HSI.- Anomaly detection technique of HSI.- Dimensionality reduction and compression technique of HSI.- Introduction to hyperspectral remote sensing applications.
