Liguo Wang, Chunhui Zhao

Hyperspectral Image Processing (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 315
• Erscheinungstermin: 15. Juli 2015
• Englisch
• ISBN-13: 9783662474563
• Artikelnr.: 43800445

Inhaltsangabe

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.