| Overview of the Book |
| Image Processing / Part 1： |
| Digital Image and Display / 1： |
| What is a digital image? / 1.1： |
| Digital image display / 1.2： |
| Some key points / 1.3： |
| Questions |
| Point Operations (Contrast Enhancement) / 2： |
| Histogram modification and lookup table / 2.1： |
| Linear contrast enhancement / 2.2： |
| Logarithmic and exponential contrast enhancement / 2.3： |
| Histogram equalization / 2.4： |
| Histogram matching and Gaussian stretch / 2.5： |
| Balance contrast enhancement technique / 2.6： |
| Clipping in contrast enhancement / 2.7： |
| Tips for interactive contrast enhancement / 2.8： |
| Algebraic Operations (Multi-image Point Operations) / 3： |
| Image addition / 3.1： |
| Image subtraction (differencing) / 3.2： |
| Image multiplication / 3.3： |
| Image division (ratio) / 3.4： |
| Index derivation and supervised enhancement / 3.5： |
| Standardization and logarithmic residual / 3.6： |
| Simulated reflectance / 3.7： |
| Summary / 3.8： |
| Filtering and Neighbourhood Processing / 4： |
| Fourier transform: understanding filtering in image frequency / 4.1： |
| Concepts of convolution for image filtering / 4.2： |
| Low-pass filters (smoothing) / 4.3： |
| High-pass filters (edge enhancement) / 4.4： |
| Local contrast enhancement / 4.5： |
| *FFT selective and adaptive filtering / 4.6： |
| RGB-IHS Transformation / 4.7： |
| Colour coordinate transformation / 5.1： |
| IHS decorrelation stretch / 5.2： |
| Direct decorrelation stretch technique / 5.3： |
| Hue RGB colour composites / 5.4： |
| *Derivation of RGB-IHS and IHS-RGB transformations based on 3D geometry of the RGB colour cube / 5.5： |
| *Mathematical proof of DDS and its properties / 5.6： |
| Image Fusion Techniques / 5.7： |
| RGB-IHS transformation as a tool for data fusion / 6.1： |
| Brovey transform (intensity modulation) / 6.2： |
| Smoothing-filter-based intensity modulation / 6.3： |
| Principal Component Analysis / 6.4： |
| Principle of PCA / 7.1： |
| Principal component images and colour composition / 7.2： |
| Selective PCA for PC colour composition / 7.3： |
| Decorrelation stretch / 7.4： |
| Physical-property-orientated coordinate transformation and tasselled cap transformation / 7.5： |
| Statistic methods for band selection / 7.6： |
| Remarks / 7.7： |
| Image Classification / 8： |
| Approaches of statistical classification / 8.1： |
| Unsupervised classification (iterative clustering) / 8.2： |
| Supervised classification / 8.3： |
| Decision rules: dissimilarity functions / 8.4： |
| Post-classification processing: smoothing and accuracy assessment / 8.5： |
| Image Geometric Operations / 8.6： |
| Image geometric deformation / 9.1： |
| Polynomial deformation model and image warping co-registration / 9.2： |
| GCP selection and automation / 9.3： |
| *Optical flow image co-registration to sub-pixel accuracy / 9.4： |
| *Introduction to Interferometric Synthetic Aperture Radar Techniques / 9.5： |
| The principle of a radar interferometer / 10.1： |
| Radar interferogram and DEM / 10.2： |
| Differential InSAR and deformation measurement / 10.3： |
| Multi-temporal coherence image and random change detection / 10.4： |
| Spatial decorrelation and ratio coherence technique / 10.5： |
| Fringe smoothing filter / 10.6： |
| Geographical Information Systems / 10.7： |
| Introduction / 11： |
| Software tools / 11.2： |
| GIS, cartography and thematic mapping / 11.3： |
| Standards, interoperability and metadata / 11.4： |
| GIS and the Internet / 11.5： |
| Data Models and Structures / 12： |
| Introducing spatial data in representing geographic features / 12.1： |
| How are spatial data different from other digital data? / 12.2： |
| Attributes and measurement scales / 12.3： |
| Fundamental data structures / 12.4： |
| Raster data / 12.5： |
| Vector data / 12.6： |
| Conversion between data models and structures / 12.7： |
| Defining a Coordinate Space / 12.8： |
| Datums and projections / 13.1： |
| How coordinate information is stored and accessed / 13.3： |
| Selecting appropriate coordinate systems / 13.4： |
| Operations / 14： |
| Introducing operations on spatial data / 14.1： |
| Map algebra concepts / 14.2： |
| Local operations / 14.3： |
| Neighbourhood operations / 14.4： |
| Vector equivalents to raster map algebra / 14.5： |
| Extracting Information from Point Data: Geostatistics / 14.6： |
| Understanding the data / 15.1： |
| Interpolation / 15.3： |
| Representing and Exploiting Surfaces / 15.4： |
| Sources and uses of surface data / 16.1： |
| Visualizing surfaces / 16.3： |
| Extracting surface parameters / 16.4： |
| Decision Support and Uncertainty / 16.5： |
| Decision support / 17.1： |
| Uncertainty / 17.3： |
| Risk and hazard / 17.4： |
| Dealing with uncertainty in spatial analysis / 17.5： |
| Complex Problems and Multi-Criteria Evaluation / 17.6： |
| Different approaches and models / 18.1： |
| Evaluation criteria / 18.3： |
| Deriving weighting coefficients / 18.4： |
| Multi-criteria combination methods / 18.5： |
| Remote Sensing Applications / 18.6： |
| Image Processing and GIS Operation Strategy / 19： |
| General image processing strategy / 19.1： |
| Remote-sensing-based GIS projects: from images to thematic mapping / 19.2： |
| An example of thematic mapping based on optimal visualization and interpretation of multi-spectral satellite imagery / 19.3： |
| Thematic Teaching Case Studies in SE Spain / 19.4： |
| Thematic information extraction (1): gypsum natural outcrop mapping and quarry change assessment / 20.1： |
| Thematic information extraction (2): spectral enhancement and mineral mapping of epithermal gold alteration, and iron ore deposits in ferroan dolomite / 20.2： |
| Remote sensing and GIS: evaluating vegetation and land-use change in the Nijar Basin, SE Spain / 20.3： |
| Applied remote sensing and GIS: a combined interpretive tool for regional tectonics, drainage and water resources / 20.4： |
| References |
| Research Case Studies / 21： |
| Vegetation change in the three parallel rivers region, Yunnan province, China / 21.1： |
| Landslide hazard assessment in the three gorges area of the Yangtze river using ASTER imagery: Wushan-Badong-Zogui / 21.2： |
| Predicting landslides using fuzzy geohazard mapping / 21.3： |
| an example from Piemonte, North-west Italy |
| Land surface change detection in a desert area in Algeria using multi-temporal ERS SAR coherence images / 21.4： |
| Industrial Case Studies / 22： |
| Multi-criteria assessment of mineral prospectivity, in SE Greenland / 22.1： |
| Water resource exploration in Somalia / 22.2： |
| Concluding Remarks / Part 4： |
| Image processing / 23.1： |
| Geographical information systems / 23.2： |
| Final remarks / 23.3： |
| Imaging Sensor Systems and Remote Sensing Satellites / Appendix A： |
| Multi-spectral sensing / A.1： |
| Broadband multi-spectral sensors / A.2： |
| Digital camera / A.2.1： |
| Across-track mechanical scanner / A.2.2： |
| Along-track push-broom scanner / A.2.3： |
| Thermal sensing and thermal infrared sensors / A.3： |
| Hyperspectral sensors (imaging spectrometers) / A.4： |
| Passive microwave sensors / A.5： |
| Active sensing: SAR imaging systems / A.6： |
| Online Resources for Information, Software and Data / Appendix B： |
| Software - proprietary, low cost and free (shareware) / B.1： |
| Information and technical information on standards, best practice, formats, techniques and various publications / B.2： |
| Data sources including online satellite imagery from major suppliers, DEM data plus GIS maps and data of all kinds / B.3： |
| General references |
| GIS |
| Remote sensing |
| References and further reading |
| Index |
| Overview of the Book |
| Image Processing / Part 1： |
| Digital Image and Display / 1： |
図書
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