Computer Processing of Remotely Sensed Images An Introduction 3rd Edition by Paul M Mather ISBN 0470849185 9780470849187

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ISBN 10: 0470849185 
ISBN 13: 9780470849187
Author: Paul M Mather

Remotely-sensed images of the Earth’s surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely-senses images. Presented in an accessible manner, the book covers a wide range of image processing and pattern recognition techniques. Features include:

• New topics on LiDAR data processing, SAR interferometry, the analysis of imaging spectrometer image sets and the use of the wavelet transform.
• An accompanying CD-ROM with:
  • updated MIPS software, including modules for standard procedures such as image display, filtering, image transforms, graph plotting, import of data from a range of sensors.
  • A set of exercises, including data sets, illustrating the application of discussed methods using the MIPS software.
  • An extensive list of WWW resources including colour illustrations for easy download.

Computer Processing of Remotely Sensed Images An Introduction 3rd Table of contents:

Chapter 1: Remote Sensing: Basic Principles

• Introduction
• Electromagnetic radiation and its properties
  • Terminology
  • Nature of electromagnetic radiation
  • The electromagnetic spectrum
  • Sources of electromagnetic radiation
  • Interactions with the Earth’s atmosphere
• Interaction with Earth-surface materials
  • Introduction
  • Spectral reflectance of Earth surface materials
    • Vegetation
    • Geology
    • Water bodies
    • Soils
• Summary

Chapter 2: Remote Sensing Platforms and Sensors

• Introduction
• Characteristics of imaging remote sensing instruments
  • Spatial resolution
  • Spectral resolution
  • Radiometric resolution
• Optical, near-infrared and thermal imaging sensors (e.g., ATSR, AVHRR, MODIS, Landsat, SPOT, ASTER, IKONOS, QuickBird)
• Microwave imaging sensors (e.g., ERS SAR, RADARSAT)
• Summary

Chapter 3: Hardware and Software Aspects of Digital Image Processing

• Introduction
• Properties of digital remote sensing data
  • Digital data
  • Data formats
  • System processing
• MIPS software (The book often refers to accompanying software for practical exercises)
  • Installing MIPS
  • Using MIPS
  • Summary of MIPS functions
• Summary

Chapter 4: Pre-processing of Remotely Sensed Data

• Introduction
• Cosmetic operations
  • Missing scan lines
  • De-striping methods (linear, histogram matching, etc.)
• Geometric correction and registration
  • Orbital geometry model
  • Transformation based on ground control points
  • Resampling procedures
  • Image registration
  • Other geometric correction methods
• Atmospheric correction
  • Background
  • Image-based methods
  • Radiative transfer models
  • Empirical line method
• Illumination and view angle effects
• Sensor calibration
• Terrain effects
• Summary

Chapter 5: Image Enhancement Techniques

• Introduction
• Human visual system
• Contrast enhancement
  • Linear contrast stretch
  • Histogram equalisation
  • Gaussian Stretch
• Pseudocolour enhancement
  • Density slicing
  • Pseudocolour transform
• Summary

Chapter 6: Image Transforms

• Introduction
• Arithmetic operations
  • Image addition
  • Image subtraction
  • Image multiplication
  • Image division and vegetation ratios
• Empirically based image transforms
  • Perpendicular Vegetation Index
  • Tasselled Cap (Kauth-Thomas) transformation
• Principal Components Analysis
  • Standard Principal Components Analysis
  • Noise-adjusted Principal Components Analysis
  • Decorrelation stretch
• Hue, Saturation and Intensity (HSI) transform
• The Discrete Fourier Transform
• The Discrete Wavelet Transform
• Change Detection
• Image Fusion
• Summary

Chapter 7: Filtering Techniques

• Introduction
• Spatial Domain Low-Pass (Smoothing) Filters
  • Moving Average Filter
  • Median Filter
  • Adaptive Filters
• Spatial Domain High-Pass (Sharpening) Filters
  • Image Subtraction Method
  • Derivative-Based Methods
• Spatial Domain Edge Detectors
• Summary

Chapter 8: Classification

• Introduction
• Geometrical Basis of Classification
• Unsupervised Classification
  • The k-Means Algorithm
  • ISODATA
  • A Modified k-Means Algorithm
• Supervised Classification
  • Training Samples
  • Statistical Classifiers
  • Neural Classifiers
• Summary

Chapter 9: Advanced Topics (This chapter likely includes more specialized or emerging topics, which might vary slightly between editions but generally cover things like LiDAR, SAR interferometry, etc.)

Chapter 10: Environmental Geographical Information Systems: A Remote Sensing Perspective (This chapter was new in the 3rd edition, focusing on the integration of remote sensing with GIS)

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Tags: Paul M Mather, Processing, Images