Ebook: Spatial Statistics for Remote Sensing

This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science.

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This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science.
Content:
Front Matter....Pages i-xvi
Description of the data used in this book....Pages 3-8
Some basic elements of statistics....Pages 9-25
Physical principles of optical remote sensing....Pages 27-40
Remote sensing and geographical information systems....Pages 41-54
Spatial Statistics....Pages 57-81
Spatial prediction by linear kriging....Pages 83-113
Issues of scale and optimal pixel size....Pages 115-133
Conditional Simulation: An alternative to estimation for achieving mapping objectives....Pages 135-152
Supervised image classification....Pages 153-163
Unsupervised class detection by adaptive sampling and density estimation....Pages 165-183
Image classification through spectral unmixing....Pages 185-193
Accuracy assessment of spatial information....Pages 197-209
Spatial sampling schemes for remote sensing....Pages 211-242
Remote sensing and decision support systems....Pages 243-260
Back Matter....Pages 261-284

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This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science.
Content:
Front Matter....Pages i-xvi
Description of the data used in this book....Pages 3-8
Some basic elements of statistics....Pages 9-25
Physical principles of optical remote sensing....Pages 27-40
Remote sensing and geographical information systems....Pages 41-54
Spatial Statistics....Pages 57-81
Spatial prediction by linear kriging....Pages 83-113
Issues of scale and optimal pixel size....Pages 115-133
Conditional Simulation: An alternative to estimation for achieving mapping objectives....Pages 135-152
Supervised image classification....Pages 153-163
Unsupervised class detection by adaptive sampling and density estimation....Pages 165-183
Image classification through spectral unmixing....Pages 185-193
Accuracy assessment of spatial information....Pages 197-209
Spatial sampling schemes for remote sensing....Pages 211-242
Remote sensing and decision support systems....Pages 243-260
Back Matter....Pages 261-284
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