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Spatial Statistics for Remote Sensing

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Cover of 'Spatial Statistics for Remote Sensing'

Table of Contents

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    Book Overview
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    Chapter 1 Description of the data used in this book
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    Chapter 2 Some basic elements of statistics
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    Chapter 3 Physical principles of optical remote sensing
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    Chapter 4 Remote sensing and geographical information systems
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    Chapter 5 Spatial Statistics
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    Chapter 6 Spatial prediction by linear kriging
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    Chapter 7 Issues of scale and optimal pixel size
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    Chapter 8 Conditional Simulation: An alternative to estimation for achieving mapping objectives
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    Chapter 9 Supervised image classification
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    Chapter 10 Unsupervised class detection by adaptive sampling and density estimation
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    Chapter 11 Image classification through spectral unmixing
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    Chapter 12 Accuracy assessment of spatial information
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    Chapter 13 Spatial sampling schemes for remote sensing
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    Chapter 14 Remote sensing and decision support systems
Attention for Chapter 8: Conditional Simulation: An alternative to estimation for achieving mapping objectives
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