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Hyperspectral Image Processing

  • Liguo Wang
  • Chunhui Zhao
Book

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Liguo Wang, Chunhui Zhao
    Pages 45-77
  3. Liguo Wang, Chunhui Zhao
    Pages 79-104
  4. Liguo Wang, Chunhui Zhao
    Pages 105-145
  5. Liguo Wang, Chunhui Zhao
    Pages 147-185
  6. Liguo Wang, Chunhui Zhao
    Pages 187-216
  7. Liguo Wang, Chunhui Zhao
    Pages 217-256
  8. Liguo Wang, Chunhui Zhao
    Pages 257-281
  9. Liguo Wang, Chunhui Zhao
    Pages 283-308
  10. Back Matter
    Pages 309-315

About this book

Introduction

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.

Keywords

Anomaly Detection Endmember Extraction Hyperspectral Imaging (HSI) Image Processing Remote Sensing SVM-based Classification Spectral Unmixing Sub-pixel Mapping Super-resolution

Authors and affiliations

  • Liguo Wang
    • 1
  • Chunhui Zhao
    • 2
  1. 1.Harbin Engineering UniversityHarbinChina
  2. 2.Harbin Engineering UniversityHarbinChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-47456-3
  • Copyright Information National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-662-47455-6
  • Online ISBN 978-3-662-47456-3
  • Buy this book on publisher's site