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Présentation Spatial Statistics For Remote Sensing Format Broché
- Livre Loisirs
Résumé :
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.
Sommaire:
Description of the data used in this book.- Some basic elements of statistics.- Physical principles of optical remote sensing.- Remote sensing and geographical information systems.- Spatial Statistics.- Spatial prediction by linear kriging.- Issues of scale and optimal pixel size.- Conditional Simulation: An alternative to estimation for achieving mapping objectives.- Supervised image classification.- Unsupervised class detection by adaptive sampling and density estimation.- Image classification through spectral unmixing.- Accuracy assessment of spatial information.- Spatial sampling schemes for remote sensing.- Remote sensing and decision support systems.
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