Table of contents for Hyperspectral remote sensing : principles and applications / authors, Marcus Borengasser, William S. Hungate.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Table of Contents
Chapter 1 History and Description of Hyperspectral Imaging
Origins
Definitions
Photon
Electromagnetic Spectrum
Speed of Light
Emission and Reflection
Chapter 2 Spectral Radiometry
Principles of Spectral Radiometry
Solid Angles
Radiance, Irrandiance, and Flux
Radiance vs. Reflectance
Blackbody Radiation
Solar Irradiance and Atmospheric Path Radiance
Theory of Atmospheric Correction
Modeling Target Interactions with Scattering by Arbitrarily Inclined Leaves (SAIL)
Chapter 3 Imaging Spectrometers: Operational Considerations
Sensors
Confusions and Misconceptions
System Integration and Configuration
Mission Planning
Workflow
Standard Products
Chapter 4 Hyperspectral Remote Sensing and the Atmosphere
Atmospheric Interactions
Amount of Atmospheric Reflection
Amount of Atmospheric Absorption
Molecular Absorption
Amount of Atmospheric Scattering
Rayleigh Scattering
Mie Scattering
Nonselective Scattering
Atmospheric Transmission
Chapter 5 Information Extraction from Optical Image Data
Data vs. Information
Classification Style/Intent
Supervised and Unsupervised Classification
Feature Extraction
Algorithm Development
Whole-pixel Analysis
Spectral Angle Mapper (SAM)
Spectral Feature Fitting (SFF)
Sub-pixel Analysis
Complete Linear Spectral Unmixing
Matched Filtering
Information Contained in an Image
Concept of a Hyperspectral Cube
Pattern Recognition
Software Tools
Chapter 6 Hyperspectral and Ultraspectral Information Extraction Approaches
Hyperspace
The Importance of Endmembers
Spectral Libraries
Delineation vs. Identification
Pixel Unmixing (Abundances)
Linear and Non-linear Mixing
Change Detection
Spectral Maps
Chapter 7 Agricultural Applications 
Introduction
Case Study 1: Detecting Crop Growth Parameters
Study Area
Data Used
Data Analysis
Results and Discussion
Conclusion
Case Study 2: Detecting Sugarcane ¿Orange Rust¿ Disease
Statistical Analysis
Results and Discussion
Conclusions
Chapter 8 Environmental Applications
Case Study 1: Classifying Lake Water Quality
Introduction
Instruments and Data
Methods
Retrieval Algorithms
Discussion
Case Study 2: Mapping Submerged Aquatic Vegetation
Introduction
Material and Methods
Study Site
Field Spectroscopy
Hyperspectral Data and Image Processing
Results and Discussion
Hyperspectral Imagery Interpretation
Conclusion
Chapter 9 Forestry Applications
Case Study 1: Detecting Douglas-Fir Beetle Infestation
Introduction
Methods
Results
Discussion
Case Study 2: Estimating Chlorophyll Content in Tolerant Hardwoods
Introduction
Discussion
Turkey Lakes Harvesting Impacts Project
Spectral Indices
Spatial Resolution
Chlorophyll Content (chla+b)
Monitoring Approach
Conclusion
Chapter 10 Geology Applications
Case Study 1: Detecting Hydrocarbons
Methods and Sensors
Test Field
Field Spectroscopy
HyMap and HRSC-A Airborne Scanner
Results and Discussion
Conclusion
Case Study 2: Mapping Alteration Zones Associated with Gold Mineralization
Introduction
Geological Background
Spectral Character of Alteration Assemblages
AVIRIS Data
Retrieval of Apparent Surface Reflectance
Empirical Line Method
Results
Spectral matching
Spectral Unmixing
Conclusions
 

Library of Congress Subject Headings for this publication:

Remote sensing.
Multispectral photography.
Image processing.