Spatial Statistics for Remote Sensing

Spatial Statistics for Remote Sensing

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Description

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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Product details

  • Hardback | 300 pages
  • 164.1 x 247.4 x 17.8mm | 675.86g
  • Dordrecht, Netherlands, United States
  • English
  • 2002 ed.
  • 58 black & white illustrations, biography
  • 079235978X
  • 9780792359784

Review quote

"...constitutes a nice synopsis of an extensive array of topics and ideas. ...as a reference source, it is definitely worth having access to, and it would be an appropriate addition for most research libraries. ...it does represent a contribution to the literature that individuals involved in remote sensing data analysis should like to have at their disposal, and so libraries should be encouraged to add it to their collections." (Mathematical Geology, 35:1 (2003)
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Table of contents

Preface. Contributors and editors. Introduction. I. 1. Description of the data; B. Gorte. 2. Some basic elements of statistics; A. Stein. 3. Physical principles of optical R.S.; F. van der Meer. 4. Remote Sensing and GIS; S. de Bruin, M. Molenaar. II. 5. Spatial Statistics; P.M. Atkinson. 6. Spatial prediction by linear kriging; A. Papritz, A. Stein. 7. Issues of scale and optimal pixel size; P.J. Curran, P. M. Atkinson. 8. Conditional Simulation; J.L. Dungan. 9. Supervised image classification; B. Gorte. 10. Unsupervised class detection; C.H.M. van Kemenade, et al. 11. Spectral unmixing; F. van der Meer. III. 12. Accuracy assessment; A.K. Skidmore. 13. Spatial sampling schemes; J. de Gruijter. 14. Decision support systems; A. Sharifi. Bibliography.
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