Essential image processing and GIS for remote sensing

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Essential image processing and GIS for remote sensing / Jian Guo Liu, Philippa J. Mason

資料種別:

図書

出版情報:

Chichester : Wiley-Blackwell, 2009

形態:

xvi, 443 p. ; 26 cm

著者名:

ISBN:

9780470510322 [0470510323] (: hb)
9780470510315 [0470510315] (: pb)

書誌ID:

BA91050650

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

Includes bibliographical references (p. [429]-436) and index

主題:

Earth--Surface--Remote sensing; Geographic information systems; Image processing; Remote sensing

言語:

英語

目次情報:

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：

What is a digital image? / 1.1：

Digital image display / 1.2：

Some key points / 1.3：

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