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Remotely-sensed images of the Earth's surface provide information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over time. This new edition of Computer Processing of Remotely Sensed Images will provide technical guidance to those related to processing and classifying such data.
Remotely-sensed images of the Earth's surface provide information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over time. This new edition of Computer Processing of Remotely Sensed Images will provide technical guidance to those related to processing and classifying such data.
Produktdetails
- Produktdetails
- Verlag: Wiley & Sons
- 3rd edition
- Englisch
- Abmessung: 25 cm
- Gewicht: 761g
- ISBN-13: 9780470849194
- ISBN-10: 0470849193
- Artikelnr.: 14922277
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Verlag: Wiley & Sons
- 3rd edition
- Englisch
- Abmessung: 25 cm
- Gewicht: 761g
- ISBN-13: 9780470849194
- ISBN-10: 0470849193
- Artikelnr.: 14922277
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
P. M. Mather, University of Nottingham, England
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 selection
8.10 Classification accuracy
8.11 Summary
9. Advanced Topics
9.1 Introduction
9.2 SAR Interferometry
9.3 Imaging spectrometry
9.4 Lidar
Appendix A: Description of Sample Image Data Sets
References
Index
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 selection
8.10 Classification accuracy
8.11 Summary
9. Advanced Topics
9.1 Introduction
9.2 SAR Interferometry
9.3 Imaging spectrometry
9.4 Lidar
Appendix A: Description of Sample Image Data Sets
References
Index
Preface to the First Edition
Preface to the Second Edition
Preface to the Third Edition
Preface to the Fourth Edition
Preface to the Fifth Edition
List of Examples
Chapter 1: Remote Sensing: Basic Principles
1.1 Introduction
1.2 Electromagnetic radiation and its properties
1.2.1 Terminology
1.2.2 Nature of electromagnetic radiation
1.2.3 The electromagnetic spectrum
1.2.4 Sources of electromagnetic radiation
1.2.5 Interactions with the Earth's atmosphere
1.3 Interaction with Earth surface materials
1.3.1 Introduction
1.3.2 Spectral reflectance of Earth surface materials
1.3.2.1 Vegetation
1.3.2.2 Geology
1.3.2.3 Water bodies
1.3.2.4 Soils
1.4 Summary
References
Chapter 2: Remote Sensing Platforms and Sensors
2.1 Introduction
2.2 Characteristics of imaging remote sensing instruments
2.2.1 Spatial resolution
2.2.2 Spectral resolution
2.2.3 Radiometric resolution
2.3 Optical, near-infrared and thermal imaging sensors
2.3.1 Along-Track Scanning Radiometer (ATSR)
2.3.2 Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imager Radiometer Suite (VIIRS)
2.3.3 MODIS (MODerate Resolution Imaging Spectrometer)
2.3.4 Ocean observing instruments
2.3.5 IRS LISS
2.3.6 Landsat instruments
2.3.6.1 Landsat Multi-Spectral Scanner (MSS)
2.3.6.2 Landsat Thematic Mapper (TM)
2.3.6.3 Enhanced Thematic Mapper Plus (ETM+)
2.3.6.4 Landsat 8
2.3.6.5 Landsat 9
2.3.6.6 Landsat Next
2.3.7 SPOT sensors
2.3.7.1 SPOT High Resolution Visible (HRV)
2.3.7.2 Vegetation (VGT)
2.3.7.3 SPOT Follow-on Programme
2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)
2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
&nbs
Preface to the Second Edition
Preface to the Third Edition
Preface to the Fourth Edition
Preface to the Fifth Edition
List of Examples
Chapter 1: Remote Sensing: Basic Principles
1.1 Introduction
1.2 Electromagnetic radiation and its properties
1.2.1 Terminology
1.2.2 Nature of electromagnetic radiation
1.2.3 The electromagnetic spectrum
1.2.4 Sources of electromagnetic radiation
1.2.5 Interactions with the Earth's atmosphere
1.3 Interaction with Earth surface materials
1.3.1 Introduction
1.3.2 Spectral reflectance of Earth surface materials
1.3.2.1 Vegetation
1.3.2.2 Geology
1.3.2.3 Water bodies
1.3.2.4 Soils
1.4 Summary
References
Chapter 2: Remote Sensing Platforms and Sensors
2.1 Introduction
2.2 Characteristics of imaging remote sensing instruments
2.2.1 Spatial resolution
2.2.2 Spectral resolution
2.2.3 Radiometric resolution
2.3 Optical, near-infrared and thermal imaging sensors
2.3.1 Along-Track Scanning Radiometer (ATSR)
2.3.2 Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imager Radiometer Suite (VIIRS)
2.3.3 MODIS (MODerate Resolution Imaging Spectrometer)
2.3.4 Ocean observing instruments
2.3.5 IRS LISS
2.3.6 Landsat instruments
2.3.6.1 Landsat Multi-Spectral Scanner (MSS)
2.3.6.2 Landsat Thematic Mapper (TM)
2.3.6.3 Enhanced Thematic Mapper Plus (ETM+)
2.3.6.4 Landsat 8
2.3.6.5 Landsat 9
2.3.6.6 Landsat Next
2.3.7 SPOT sensors
2.3.7.1 SPOT High Resolution Visible (HRV)
2.3.7.2 Vegetation (VGT)
2.3.7.3 SPOT Follow-on Programme
2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)
2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
&nbs
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 selection
8.10 Classification accuracy
8.11 Summary
9. Advanced Topics
9.1 Introduction
9.2 SAR Interferometry
9.3 Imaging spectrometry
9.4 Lidar
Appendix A: Description of Sample Image Data Sets
References
Index
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 selection
8.10 Classification accuracy
8.11 Summary
9. Advanced Topics
9.1 Introduction
9.2 SAR Interferometry
9.3 Imaging spectrometry
9.4 Lidar
Appendix A: Description of Sample Image Data Sets
References
Index
Preface to the First Edition
Preface to the Second Edition
Preface to the Third Edition
Preface to the Fourth Edition
Preface to the Fifth Edition
List of Examples
Chapter 1: Remote Sensing: Basic Principles
1.1 Introduction
1.2 Electromagnetic radiation and its properties
1.2.1 Terminology
1.2.2 Nature of electromagnetic radiation
1.2.3 The electromagnetic spectrum
1.2.4 Sources of electromagnetic radiation
1.2.5 Interactions with the Earth's atmosphere
1.3 Interaction with Earth surface materials
1.3.1 Introduction
1.3.2 Spectral reflectance of Earth surface materials
1.3.2.1 Vegetation
1.3.2.2 Geology
1.3.2.3 Water bodies
1.3.2.4 Soils
1.4 Summary
References
Chapter 2: Remote Sensing Platforms and Sensors
2.1 Introduction
2.2 Characteristics of imaging remote sensing instruments
2.2.1 Spatial resolution
2.2.2 Spectral resolution
2.2.3 Radiometric resolution
2.3 Optical, near-infrared and thermal imaging sensors
2.3.1 Along-Track Scanning Radiometer (ATSR)
2.3.2 Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imager Radiometer Suite (VIIRS)
2.3.3 MODIS (MODerate Resolution Imaging Spectrometer)
2.3.4 Ocean observing instruments
2.3.5 IRS LISS
2.3.6 Landsat instruments
2.3.6.1 Landsat Multi-Spectral Scanner (MSS)
2.3.6.2 Landsat Thematic Mapper (TM)
2.3.6.3 Enhanced Thematic Mapper Plus (ETM+)
2.3.6.4 Landsat 8
2.3.6.5 Landsat 9
2.3.6.6 Landsat Next
2.3.7 SPOT sensors
2.3.7.1 SPOT High Resolution Visible (HRV)
2.3.7.2 Vegetation (VGT)
2.3.7.3 SPOT Follow-on Programme
2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)
2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
&nbs
Preface to the Second Edition
Preface to the Third Edition
Preface to the Fourth Edition
Preface to the Fifth Edition
List of Examples
Chapter 1: Remote Sensing: Basic Principles
1.1 Introduction
1.2 Electromagnetic radiation and its properties
1.2.1 Terminology
1.2.2 Nature of electromagnetic radiation
1.2.3 The electromagnetic spectrum
1.2.4 Sources of electromagnetic radiation
1.2.5 Interactions with the Earth's atmosphere
1.3 Interaction with Earth surface materials
1.3.1 Introduction
1.3.2 Spectral reflectance of Earth surface materials
1.3.2.1 Vegetation
1.3.2.2 Geology
1.3.2.3 Water bodies
1.3.2.4 Soils
1.4 Summary
References
Chapter 2: Remote Sensing Platforms and Sensors
2.1 Introduction
2.2 Characteristics of imaging remote sensing instruments
2.2.1 Spatial resolution
2.2.2 Spectral resolution
2.2.3 Radiometric resolution
2.3 Optical, near-infrared and thermal imaging sensors
2.3.1 Along-Track Scanning Radiometer (ATSR)
2.3.2 Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imager Radiometer Suite (VIIRS)
2.3.3 MODIS (MODerate Resolution Imaging Spectrometer)
2.3.4 Ocean observing instruments
2.3.5 IRS LISS
2.3.6 Landsat instruments
2.3.6.1 Landsat Multi-Spectral Scanner (MSS)
2.3.6.2 Landsat Thematic Mapper (TM)
2.3.6.3 Enhanced Thematic Mapper Plus (ETM+)
2.3.6.4 Landsat 8
2.3.6.5 Landsat 9
2.3.6.6 Landsat Next
2.3.7 SPOT sensors
2.3.7.1 SPOT High Resolution Visible (HRV)
2.3.7.2 Vegetation (VGT)
2.3.7.3 SPOT Follow-on Programme
2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)
2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
&nbs