遥感与图像处理 英文【2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载】

遥感与图像处理 英文PDF格式电子书版下载

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Chapter 1 Introuduction to Fundamentals1

1.1 Definition of Remote sensing1

1.2 Electromagnetic Radiation1

1.3 The Electromagnetic Spectrum3

1.4 Interactions with the Atmosphere6

1.5 Radiation-Target Interactions8

1.6 Passive vs.Active Sensing11

1.7 Characteristics of Images12

Exercises13

Chapter 2 Satellites and Sensors14

2.1 On the Ground,In the Air,In Space14

2.2 Satellite Characteristics:Orbits and Swaths15

2.3 Spatial Resolution,Pixel Size,and Scale18

2.4 Spectral Resolution19

2.5 Radiometric Resolution20

2.6 Temporal Resolution20

2.7 Cameras and Aerial Photography22

2.8 Multispectral Scanning24

2.9 Thermal Imaging27

2.10 Geometric Distortion in Imagery28

2.11 Weather Satellites/Sensors29

2.12 Land Observation Satellites/Sensors32

2.13 Marine Observation Satellites/Sensors40

2 14 Other Sensors42

2.15 Data Reception,Transmission,and Processing42

Exercises45

Chapter 3 Microwave Remote Sensing45

3.1 Introduction45

3.2 Radar Basics47

3.3 Viewing Geometry and Spatial Resolution50

3.4 Radar Image Distortions52

3.5 Target Interaction and Image Appearance54

3.6 Radar Image Properties58

3.7 Advanced Radar Applications61

3.8 Radar Polarimetry62

3.9 Airborne versus Spaceborne Radars66

3.10 Airborne and Spaceborne Radar Systems67

3.10.1 Airborne Radar Systems67

3.10.2 Spaceborne Radar Systems68

Exercises72

Chapter 4 Image Interpretation ＆ Analysis74

4.1 Introduction74

4.2 Elements of Visual Interpretation75

4.3 Pre-processing76

4.3.1 Radiometric Corrections76

4.3.2 Correction of Geometric Distortion78

4.4 Image Subsetting and Mosaicking82

4.4.1 Image Subsetting82

4.4.2 Image Mosaicking83

4.5 Image Enhancement84

4.5.1 Image Histogram85

4.5.2 Density Slicing85

4.5.3 Linear Enhancement85

4.5.4 Piecewise Linear Enhancement88

4.5.5 Look-up Table89

4.5.6 Nonlinear Stretching90

4.6 Spatial Filtering90

4.6.1 Neighborhood and Connectivity90

4.6.2 Kernels and Convolution91

4.6.3 Image Smoothing92

4.6.4 Median Filtering93

4.6.5 Edge-Detection Templates93

4.7 Multiple-Image Manipulation94

4.7.1 Band Ratioing94

4.7.2 Vegetation Index95

4.8 Image Transformation96

4.8.1 PCA96

4.8.2 Tasseled Cap Transformation96

4.8.3 HIS Transformation97

4.9 Image Filtering in Frequency Domain99

4.10 Fundamentals of Classification99

4.10.1 Spectral Class versus Information Class99

4.10.2 Distance in the Spectral Domain100

4.11 Unsupervised Classification100

4.11.1 Moving Cluster Analysis101

4.11.2 Iterative Self-Organizing Data Analysis101

4.11.3 Agglomerative Hierarchical Clustering101

4.11.4 Histogram-Based Clustering101

4.12 Supervised Classification103

4.12.1 Procedure103

4.12.2 Per-Pixel Image Classifiers104

4.13 Unsupervised and Supervised Classification105

4.14 Other methods for classification106

4.14.1 Mean Shift Clustering106

4.14.2 Fuzzy Image Classification107

4.14.3 Neural Network108

4.14.4 Decision Tree108

4.15 Data Integration and Analysis109

Exercises111

Chapter 5 Applications113

5.1 Introduction113

5.2 Land Use ＆ Land Cover（Rural/Urban）114

5.2.1 Basic Concepts114

5.2.2 Change Detection Steps114

5.2.3 Common Satellite and Sensor in LULC Research116

5.2.4 Case Study116

5.3 Urban Thermal Environment119

5.3.1 Introduction119

5.3.2 Case study-Yangtze River Delta121

Exercises124

Chapter 6 ERDAS User's Guide125

6.1 Introduction to ERDAS125

6.2 Getting Started126

6.3 Viewer127

6.4 Image Enhance132

6.5 Image Rectification140

6.6 Unsupervised Classification149

6.7 Supervised Classification151

Appendix Digital Image Processing Using MATLAB157

1 Matrix Indexing157

2 Function Imadjust159

3 Logarithmic and Contrast-Stretching Transformation160

4 Generating and Plotting Image Histograms161

5 Linear Spatial Filtering162

6 Basic Steps in DFT Filtering164

7 Lowpass Frequency Domain Filters164

8 Dilation and Erosion165

9 Edge Detection Using Function edge167

References169