Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- 2 The Remote Sensing Environment
- 3 Spectral Properties of Materials
- 4 Imaging Spectrometers
- 5 Imaging Spectrometer Characterization and Data Calibration
- 6 Radiative Transfer and Atmospheric Compensation
- 7 Statistical Models for Spectral Data
- 8 Linear Spectral Transformations
- 9 Spectral Mixture Analysis
- 10 Signal Detection Theory
- 11 Hyperspectral Data Exploitation
- Appendix Introduction to Gaussian Optics
- Bibliography
- Index
- Plate section
Dedication
Published online by Cambridge University Press: 10 November 2016
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- 2 The Remote Sensing Environment
- 3 Spectral Properties of Materials
- 4 Imaging Spectrometers
- 5 Imaging Spectrometer Characterization and Data Calibration
- 6 Radiative Transfer and Atmospheric Compensation
- 7 Statistical Models for Spectral Data
- 8 Linear Spectral Transformations
- 9 Spectral Mixture Analysis
- 10 Signal Detection Theory
- 11 Hyperspectral Data Exploitation
- Appendix Introduction to Gaussian Optics
- Bibliography
- Index
- Plate section
- Type
- Chapter
- Information
- Hyperspectral Imaging Remote SensingPhysics, Sensors, and Algorithms, pp. v - viPublisher: Cambridge University PressPrint publication year: 2016