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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. Image Processing and GIS for Remote Sensing 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.
Image Processing and GIS for Remote Sensing 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.
Image Processing and GIS for Remote Sensing 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.
Overview of the book xi
Part I Image processing
1 Digital image and display 3
2 Point operations (contrast enhancement) 9
3 Algebraic operations (multi-image point operations) 21
4 Filtering and neighbourhood processing 35
5 RGB-IHS transformation 55
6 Image fusion techniques 69
7 Principal component analysis 77
8 Image classification 91
9 Image geometric operations 103
10 Introduction to interferometric synthetic aperture radar technique 113
Part II Geographical information systems
11 Sub-pixel technology and its applications 127
12 Geographical information systems 151
13 Data models and structures 155
14 Defining a coordinate space 177
15 Operations 191
16 Extracting information from point data: Geostatistics 211
17 Representing and exploiting surfaces 227
18 Decision support and uncertainty 247
Part III Remote sensing applications
19 Complex problems and multi-criterion evaluation 257
20 Image processing and GIS operation strategy 275
21 Thematic teaching case studies in SE Spain 293
22 Research case studies 335
Part IV Summary
23 Industrial case studies 389
24 Concluding remarks 419
Appendix A Imaging sensor systems and remote sensing satellites 427
Appendix B Online resources for information, software and data 441
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.
Review of the first edition:
"The authors have described the key concepts and ideas with clarity and in a logical manner and have also included numerous relevant conceptual illustrations. The book contains twenty three chapters, all of which are well written."
– IAPR Newsletter, 1 July 2011