Spatial Statistics for Remote Sensing

Series: Remote Sensing and Digital Image Processing Series Volume: 1

Edited By: Alfred Stein and Ben Gorte

284 pages, Figs, tabs

Publisher: Kluwer Academic Publishers

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Hardback Dec 1999 Out of Print #120434

About this book Contents

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About this book

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.

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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Series: Remote Sensing and Digital Image Processing Series Volume: 1

Edited By: Alfred Stein and Ben Gorte

284 pages, Figs, tabs

Publisher: Kluwer Academic Publishers

Media reviews

...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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