Computer Processing of Remotely-Sensed Images

Preface to the First Edition

Preface to the Second Edition

Preface to the Third Edition

List of Examples

1. Remote Sensing: Basic Principles

1.1 Introduction

1.2 Electromagnetic radiation and its properties

1.3 Interaction with Earth-surface materials

1.4 Summary

2. Remote Sensing Platforms and Sensors

2.1 Introduction

2.2 Characteristics of imaging remote sensing instruments

2.3 Optical, near-infrared and thermal imaging sensors

2.4 Microwave imaging sensors

2.5 Summary

3. Hardware and Software Aspects of Digital Image Processing

3.1 Introduction

3.2 Properties of digital remote sensing data

3.3 MIPS software

3.4 Summary

4. Pre-processing of Remotely Sensed Data

4.1 Introduction

4.2 Cosmetic operations

4.3 Geometric correction and registration

4.4 Atmospheric correction

4.5 Illumination and view angle effects

4.6 Sensor calibration

4.7 Terrain effects

4.8 Summary

5. Image Enhancement Techniques

5.1 Introduction

5.2 Human visual system

5.3 Contrast enhancement

5.4 Pseudocolour enghancement

5.5 Summary

6. Image Transforms

6.1 Introduction

6.2 Arithmetic operations

6.3 Empirically based image transforms

6.4 Principal Components Analysis

6.5 Hue, Saturation and Intensity (HIS) transform

6.6 The Discrete Fourier Transform

6.7 The Discrete Wavelet Transform

6.8 Summary

7. Filtering Techniques

7.1 Introduction

7.2 Spatial domain low-pass (smoothing) filters

7.3 Spatial domain high-pass (sharpening) filters

7.4 Spatial domain edge detectors

7.5 Frequency domain filters

7.6 Summary

8. Classification

8.1 Introduction

8.2 Geometrical basis of classification

8.3 Unsupervised classification

8.4 Supervised classification

8.5 Fuzzy classification and linear spectral unmixing

8.6 Other approaches to image classification

8.7 Incorporation of non-spectral features

8.8 Contextual information

8.9 Feature