Computer Processing of Remotely-Sensed Images : An Introduction.
Title:
Computer Processing of Remotely-Sensed Images : An Introduction.
Author:
Mather, Paul.
ISBN:
9780470666500
Personal Author:
Edition:
4th ed.
Physical Description:
1 online resource (462 pages)
Contents:
Computer Processing of Remotely-Sensed Images -- Contents -- Preface to the First Edition -- Preface to the Second Edition -- Preface to the Third Edition -- Preface to the Fourth Edition -- List of Examples -- 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 -- 1.4 Summary -- 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 NPOESS VIIRS -- 2.3.3 MODIS -- 2.3.4 Ocean Observing Instruments -- 2.3.5 IRS LISS -- 2.3.6 Landsat Instruments -- 2.3.7 SPOT Sensors -- 2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) -- 2.3.9 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 -- 2.4.4 ALOS PALSAR -- 2.5 Summary -- 3 Hardware and Software Aspects of Digital Image Processing -- 3.1 Introduction -- 3.2 Properties of Digital Remote Sensing Data -- 3.2.1 Digital Data -- 3.2.2 Data Formats -- 3.2.3 System Processing -- 3.3 Numerical Analysis and Software Accuracy -- 3.4 Some Remarks on Statistics -- 3.5 Summary -- 4 Preprocessing of Remotely-Sensed Data -- 4.1 Introduction.
4.2 Cosmetic Operations -- 4.2.1 Missing Scan Lines -- 4.2.2 Destriping Methods -- 4.3 Geometric Correction and Registration -- 4.3.1 Orbital Geometry Model -- 4.3.2 Transformation Based on Ground Control Points -- 4.3.3 Resampling Procedures -- 4.3.4 Image Registration -- 4.3.5 Other Geometric Correction Methods -- 4.4 Atmospheric Correction -- 4.4.1 Background -- 4.4.2 Image-Based Methods -- 4.4.3 Radiative Transfer Models -- 4.4.4 Empirical Line Method -- 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 -- 5.3.1 Linear Contrast Stretch -- 5.3.2 Histogram Equalization -- 5.3.3 Gaussian Stretch -- 5.4 Pseudocolour Enhancement -- 5.4.1 Density Slicing -- 5.4.2 Pseudocolour Transform -- 5.5 Summary -- 6 Image Transforms -- 6.1 Introduction -- 6.2 Arithmetic Operations -- 6.2.1 Image Addition -- 6.2.2 Image Subtraction -- 6.2.3 Image Multiplication -- 6.2.4 Image Division and Vegetation Indices -- 6.3 Empirically Based Image Transforms -- 6.3.1 Perpendicular Vegetation Index -- 6.3.2 Tasselled Cap (Kauth-Thomas) Transformation -- 6.4 Principal Components Analysis -- 6.4.1 Standard Principal Components Analysis -- 6.4.2 Noise-Adjusted PCA -- 6.4.3 Decorrelation Stretch -- 6.5 Hue-Saturation-Intensity (HSI) Transform -- 6.6 The Discrete Fourier Transform -- 6.6.1 Introduction -- 6.6.2 Two-Dimensional Fourier Transform -- 6.6.3 Applications of the Fourier Transform -- 6.7 The Discrete Wavelet Transform -- 6.7.1 Introduction -- 6.7.2 The One-Dimensional Discrete Wavelet Transform -- 6.7.3 The Two-Dimensional Discrete Wavelet Transform -- 6.8 Change Detection -- 6.8.1 Introduction -- 6.8.2 NDVI Difference Image -- 6.8.3 PCA -- 6.8.4 Canonical Correlation Change Analysis -- 6.8.5 Summary.
6.9 Image Fusion -- 6.9.1 Introduction -- 6.9.2 HSI Algorithm -- 6.9.3 PCA -- 6.9.4 Gram-Schmidt Orthogonalization -- 6.9.5 Wavelet-Based Methods -- 6.9.6 Evaluation - Subjective Methods -- 6.9.7 Evaluation - Objective Methods -- 6.10 Summary -- 7 Filtering Techniques -- 7.1 Introduction -- 7.2 Spatial Domain Low-Pass (Smoothing) Filters -- 7.2.1 Moving Average Filter -- 7.2.2 Median Filter -- 7.2.3 Adaptive Filters -- 7.3 Spatial Domain High-Pass (Sharpening) Filters -- 7.3.1 Image Subtraction Method -- 7.3.2 Derivative-Based Methods -- 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 -- 8.3.1 The k-Means Algorithm -- 8.3.2 ISODATA -- 8.3.3 A Modified k-Means Algorithm -- 8.4 Supervised Classification -- 8.4.1 Training Samples -- 8.4.2 Statistical Classifiers -- 8.4.3 Neural Classifiers -- 8.5 Subpixel Classification Techniques -- 8.5.1 The Linear Mixture Model -- 8.5.2 Spectral Angle Mapping -- 8.5.3 ICA -- 8.5.4 Fuzzy Classifiers -- 8.6 More Advanced Approaches to Image Classification -- 8.6.1 Support Vector Machines -- 8.6.2 Decision Trees -- 8.6.3 Other Methods of Classification -- 8.7 Incorporation of Non-spectral Features -- 8.7.1 Texture -- 8.7.2 Use of External Data -- 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 -- 9.2.1 Basic Principles -- 9.2.2 Interferometric Processing -- 9.2.3 Problems in SAR Interferometry -- 9.2.4 Applications of SAR Interferometry -- 9.3 Imaging Spectroscopy -- 9.3.1 Introduction -- 9.3.2 Processing Imaging Spectroscopy Data -- 9.4 Lidar -- 9.4.1 Introduction -- 9.4.2 Lidar Details -- 9.4.3 Lidar Applications -- 9.5 Summary.
10 Environmental Geographical Information Systems: A Remote Sensing Perspective -- 10.1 Introduction -- 10.1.1 Definitions -- 10.1.2 The Synergy between Remote Sensing and GIS -- 10.2 Data Models, Data Structures and File Formats -- 10.2.1 Spatial Data Models -- 10.2.2 Data Structures -- 10.2.3 File Formats -- 10.2.4 Raster to Vector and Vector to Raster Conversion -- 10.3 Geodata Processing -- 10.3.1 Buffering -- 10.3.2 Overlay -- 10.4 Locational Analysis -- 10.4.1 Slope and Aspect -- 10.4.2 Proximity Analysis -- 10.4.3 Contiguity and Connectivity -- 10.5 Spatial Analysis -- 10.5.1 Point Patterns and Interpolation -- 10.5.2 Relating Field and Remotely-Sensed Measurements: Statistical Analysis -- 10.5.3 Exploratory Data Analysis and Data Mining -- 10.6 Environmental Modelling -- 10.7 Visualization -- 10.8 Multicriteria Decision Analysis of Groundwater Recharge Zones -- 10.8.1 Introduction -- 10.8.2 Data Characteristics -- 10.8.3 Multicriteria Decision Analysis -- 10.8.4 Evaluation -- 10.8.5 Conclusions -- 10.9 Assessing Flash Flood Hazards by Classifying Wadi Deposits in Arid Environments -- 10.9.1 Introduction -- 10.9.2 Water Resources in Arid Lands -- 10.9.3 Case Study from the Sinai Peninsula, Egypt -- 10.9.4 Optical and Microwave Data Fusion -- 10.9.5 Classification of Wadi Deposits -- 10.9.6 Correlation of Classification Results with Geology and Terrain Data -- 10.9.7 Conclusions -- 10.10 Remote Sensing and GIS in Archaeological Studies -- 10.10.1 Introduction -- 10.10.2 Homul (Guatemala) Case Study -- 10.10.3 Aksum (Ethiopia) Case Study -- 10.10.4 Conclusions -- Appendix A Accessing MIPS -- Appendix B Getting Started with MIPS -- Appendix C Description of Sample Image Datasets -- Appendix D Acronyms and Abbreviations -- References -- Index.
Abstract:
This fourth and full colour edition updates and expands a widely-used textbook aimed at advanced undergraduate and postgraduate students taking courses in remote sensing and GIS in Geography, Geology and Earth/Environmental Science departments. Existing material has been brought up to date and new material has been added. In particular, a new chapter, exploring the two-way links between remote sensing and environmental GIS, has been added. New and updated material includes: A website at www.wiley.com/go/mather4 that provides access to an updated and expanded version of the MIPS image processing software for Microsoft Windows, PowerPoint slideshows of the figures from each chapter, and case studies, including full data sets, Includes new chapter on Remote Sensing and Environmental GIS that provides insights into the ways in which remotely-sensed data can be used synergistically with other spatial data sets, including hydrogeological and archaeological applications, New section on image processing from a computer science perspective presented in a non-technical way, including some remarks on statistics, New material on image transforms, including the analysis of temporal change and data fusion techniques, New material on image classification including decision trees, support vector machines and independent components analysis, and Now in full colour throughout. This book provides the material required for a single semester course in Environmental Remote Sensing plus additional, more advanced, reading for students specialising in some aspect of the subject. It is written largely in non-technical language yet it provides insights into more advanced topics that some may consider too difficult for a non-mathematician to understand. The case studies available from the website are fully-documented research projects complete with original data sets.
For readers who do not have access to commercial image processing software, MIPS provides a licence-free, intuitive and comprehensive alternative.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Added Author:
Electronic Access:
Click to View