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: |