Image Processing and Gis for Remote Sensing - Techniques and Applications

Informationen zum Autor Jian Guo Liu  received a Ph.D. in 1991 in remote sensing and image processing from Imperial College London, UK and an M.Sc. in 1982 in remote sensing and geology from China University of Geosciences, Beijing, China. He is a Reader in remote sensing in the Department of Earth Science and Engineering, Imperial College London. His current research activities include: sub-pixel technology for image registration, DEM generation and change detection; image processing techniques for data fusion, filtering and InSAR; and GIS multi-data modelling for geohazard studies. Philippa J Mason completed a BSc in Geology at Southampton University in 1987, an MSc in Remote Sensing at University College London in 1993 and a PhD in 1998 at Imperial College London. She is a lecturer in remote sensing & GIS at Imperial College London and a consultant in geological remote sensing and image interpretation. Her research interests include the application of geospatial sciences to geohazards, tectonic geomorphology, spectral geology and mineral exploration. Klappentext Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a "3 in 1" structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner.The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience.The book is heavily based on the authors' own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard "Pan-sharpen" imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research. Zusammenfassung Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. Inhaltsverzeichnis Overview of the Book xi Part I Image processing 1 Digital image and display 3 1.1 What is a digital image? 3 1.2 Digital image display 4 1.3 Some key points 8 1.4 Questions 8 2 Point operations (contrast enhancement) 9 2.1 Histogram modification and lookup table 9 2.2 Linear contrast enhancement (LCE) 11 2.3 Logarithmic and exponential contrast enhancement 13 2.4 Histogram equalisation (HE) 14 2.5 Histogram matching (HM) and Gaussian stretch 15 2.6 Balance contrast enhancement technique (BCET) 16 2.7 Clipping in contrast enhancement 18 2.8 Tips for interactive contrast enhancement 18 2.9 Questions 19 3 Algebraic operations (multi¿image point operations) 21 3.1 Image addition 21 3.2 Image subtraction (differencing) 22 3.3 Image multiplication 22 3.4 Image division (ratio) 22 3.5 Index derivation and supervised enhancement 26 3.6 Standardization and logarithmic residual 29 3.7 Simulated reflectance 29 3.8 Summary 33 3.9 Questions 34 4 Filtering and neighbourhood processing 35 4.1 FT: Understanding filtering in image frequency 35 4.2 Concepts of convolution for...

Inhaltsverzeichnis

Overview of the book xi
 
Part I Image processing
 
1 Digital image and display 3
 
1.1 What is a digital image? 3
 
1.2 Digital image display 4
 
1.3 Some key points 8
 
1.4 Questions 8
 
2 Point operations (contrast enhancement) 9
 
2.1 Histogram modification and lookup table 9
 
2.2 Linear contrast enhancement (LCE) 11
 
2.2.1 Derivation of a linear function from two points 12
 
2.3 Logarithmic and exponential contrast enhancement 13
 
2.4 Histogram equalisation (HE) 14
 
2.5 Histogram matching (HM) and Gaussian stretch 15
 
2.6 Balance contrast enhancement technique (BCET) 16
 
2.7 Clipping in contrast enhancement 18
 
2.8 Tips for interactive contrast enhancement 18
 
2.9 Questions 19
 
3 Algebraic operations (multi-image point operations) 21
 
3.1 Image addition 21
 
3.2 Image subtraction (differencing) 22
 
3.3 Image multiplication 22
 
3.4 Image division (ratio) 22
 
3.5 Index derivation and supervised enhancement 26
 
3.6 Standardization and logarithmic residual 29
 
3.7 Simulated reflectance 29
 
3.8 Summary 33
 
3.9 Questions 34
 
4 Filtering and neighbourhood processing 35
 
4.1 FT: Understanding filtering in image frequency 35
 
4.2 Concepts of convolution for image filtering 37
 
4.3 Low pass filters (smoothing) 38
 
4.4 High pass filters (edge enhancement) 42
 
4.5 Local contrast enhancement 45
 
4.6 FFT selective and adaptive filtering 46
 
4.7 Summary 52
 
4.8 Questions 52
 
5 RGB-IHS transformation 55
 
5.1 Colour co-ordinate transformation 55
 
5.2 IHS de-correlation stretch 57
 
5.3 Direct de-correlation stretch technique 58
 
5.4 Hue RGB colour composites 60
 
5.5 Derivation of RGB-IHS and IHS-RGB transformation based on 3D geometry of the RGB colour cube 63
 
5.6 Mathematical proof of DDS and its properties 65
 
5.7 Summary 67
 
5.8 Questions 67
 
6 Image fusion techniques 69
 
6.1 RGB-IHS transformation as a tool for data fusion 69
 
6.2 Brovey transform (intensity modulation) 71
 
6.3 Smoothing filter-based intensity modulation 71
 
6.4 Summary 75
 
6.5 Questions 75
 
7 Principal component analysis 77
 
7.1 Principle of the PCA 77
 
7.2 PC images and PC colour composition 79
 
7.3 Selective PCA for PC colour composition 82
 
7.4 De-correlation stretch 84
 
7.5 Physical property orientated coordinate transformation and tasselled cap transformation 85
 
7.6 Statistical methods for band selection 87
 
7.7 Remarks 88
 
7.8 Questions 89
 
8 Image classification 91
 
8.1 Approaches of statistical classification 91
 
8.2 Unsupervised classification (iterative clustering) 92
 
8.3 Supervised classification 96
 
8.4 Decision rules: Dissimilarity functions 97
 
8.5 Post-classification processing: Smoothing and accuracy assessment 98
 
8.6 Summary 101
 
8.7 Questions 101
 
9 Image geometric operations 103
 
9.1 Image geometric deformation 103
 
9.2 Polynomial deformation model and image warping co-registration 106
 
9.3 GCP selection and automation of image co-registration 109
 
9.3.1 Manual and semi-automatic GCP
 
9.4 Summary 110
 
9.5 Questions 110
 
10 Introduction to interferometric synthetic aperture radar technique 113
 
10.1 The principle of a radar interferometer 113
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Produktdetails

• Autoren: J Liu, Jian Gu Liu, Jian Guo Liu, Jian Guo (Department of Earth Science and Eng Liu, Jian Guo (Department of Earth Science and Eng) Liu, Jian Guo Mason Liu, Jian-guo Liu, Jian-Guo Mason Liu, Philippa Mason, Philippa J Mason, Philippa J. Mason, Philippa J. (Department of Earth Sciences) Mason, Mason Philippa J.
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 31.03.2016
• EAN: 9781118724200
• ISBN: 978-1-118-72420-0
• Seiten: 480
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Geowissenschaften; Geowissenschaften, Geographie, Geography, Fernerkundung, Geoinformationssystem, Earth Sciences, GIS u. Fernerkundung, GIS & Remote Sensing, GIS, Fernerkundung u. Kartographie, GIS, Remote Sensing & Cartography, Geology & Geophysics, Geologie u. Geophysik