Hyperspectral Image Processing

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-ba...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Wang, Liguo (Author), Zhao, Chunhui (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Signal processing.
Computer vision.
Geographic information systems.
Signal, Speech and Image Processing .
Computer Vision.
Geographical Information System.
Online Access:Texto Completo
Table of Contents:
  • 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.

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