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遥感及其应用2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

遥感及其应用
  • 吴连喜著 著
  • 出版社： 北京：中国大地出版社
  • ISBN：9787802462632
  • 出版时间：2009
  • 标注页数：158页
  • 文件大小：41MB
  • 文件页数：166页
  • 主题词：遥感技术－英文

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图书目录

1　Introduction1

1.1 What is Remote Sensing1

1.2　Electromagnetic Radiation2

1.3　The Electromagnetic Spectrum3

1.4　Interactions with the Atmosphere5

1.5 Radiation-Target Interactions7

1.6　Passive vs.Active Sensing10

1.7　Characteristics of Images10

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 Scale17

2.4 Spectral Resolution18

2.5 Radiometric Resolution20

2.6 Temporal Resolution20

2.7 Cameras and Aerial Photography21

2.8 Multispectral Scanning23

2.9 Thermal Imaging25

2.10 Geometric Distortion in Imagery26

2.11 Weather Satellites/Sensors27

2.12 Land Observation Satellites/Sensors30

2.13 Marine Observation Satellites/Sensors36

2.14 Other Sensors38

2.15 Data Reception,Transmission,and Processing39

3 Microwave Remote Sensing41

3.1 Microvaves Introduction41

3.2 Radar Basics43

3.3 Viewing Geometry and Spatial Resolution44

3.4 Radar Image Distortions47

3.5 Target Interaction and Image Appearance49

3.6 Radar Image Properties52

3.7 Advanced Radar Applications55

3.8 Radar Polarimetry57

3.9 Airborne versus Spaceborne Radars60

3.10 Airborne and Spaceborne Radar Systems61

4 Image Processing64

4.1 Introduction64

4.2 Digital Data66

4.3 Elements of Visual Interpretation68

4.4 Pre-Processing69

4.5 Image Enhancement72

4.5.1 Gray Scale Conversion73

4.5.2 Histogram Conversion74

4.5.3 Colour Display of Image Data76

4.6 lmage Transform78

4.6.1 Operations between Images78

4.6.2 Principal Component Analysis78

4.6.3 Tasseled Cap Transformation79

4.7 Spatial Filtering81

4.8 Texture Analysis83

4.9 lmage Correlation83

4.10 Image Fusion85

4.10.1 Concept of Image Fusion86

4.10.2 Objectives of Image Fusion86

4.10.3 Image Fusion Techniques89

4.10.4 Examples of Image Fusion97

4.10.5 Advantages and limitations99

4.11 Image Classification103

4.11.1 Classification Techniques103

4.11.2 Estimation of Population Statistics105

4.11.3 Clustering106

4.11.4 Parallelepiped Classifier107

4.11.5 Decision Tree Classifier108

4.11.6 Minimum Distance Classifier109

4.11.7 Maximum Likelihood Classifier111

4.11.8 Applications of Fuzzy Set Theory112

4.11.9 Classification Using an Expert System113

5 Applications115

5.1 Agriculture116

5.1.1 Crop Type Mapping117

5.1.2 Crop Monitoring ＆ Damage Assessment119

5.1.3 Global Vegetation Map121

5.2 Forestry121

5.2.1 C1ear Cut Mapping ＆ Deforestation124

5.2.2 Species Identification ＆ Typing125

5.2.3 Burn Mapping127

5.3 Hvdrology128

5.3.1 Flood Delineation ＆ Mapping129

5.3.2 Soil Moisture131

5.3.3 Water Quality Monitoring132

5.4 Land Cover ＆ Land Use133

5.4.1 Land Cover Classification135

5.4.2 Land Cover/Biomass Mapping136

5.4.3 Land Cover Change Detection137

5.5 Mapping138

5.5.1 Planimetry139

5.5.2 Height Measurement(DEM Generation)140

5.5.3 Topographic ＆ Baseline Thematic Mapping141

5.5.4 Geological Interpretation143

References144

Appendix A Abbreviations and acronyms149

Appendix B Colour Figure151

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