Spatial Statistics for Remote Sensing

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Preface
Contributors and editors
Introduction
Description of the data used in this book	p. 3
Some basic elements of statistics	p. 9
Physical principles of optical remote sensing	p. 27
Remote sensing and geographical information systems	p. 41
Spatial Statistics	p. 57
Spatial prediction by linear kriging	p. 83
Issues of scale and optimal pixel size	p. 115
Conditional Simulation: An alternative to estimation for achieving mapping objectives	p. 135
Supervised image classification	p. 153
Unsupervised class detection by adaptive sampling and density estimation	p. 165
Image classification through spectral unmixing	p. 185
Accuracy assessment of spatial information	p. 197
Spatial sampling schemes for remote sensing	p. 211
Remote sensing and decision support systems	p. 243
Bibliography	p. 284
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