Spatial Statistics for Remote Sensing

Author:   A. Stein ,  Freek D. van der Meer ,  Ben Gorte
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   1
ISBN:  

9781402005510


Pages:   284
Publication Date:   31 March 2002
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Spatial Statistics for Remote Sensing


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Overview

This title 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 the topic. 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. `Lunar Gravimetry: Revealing the Far-Side is a long-awaited monograph wrapping up the past decades of lunar gravimetric research. Despite a series of lunar missions and extensive research on the subject, half of the lunar globe has remained unaccessed. This text shows how this deficit impacts today's knowledge about the Moon, how to attack this problem in modern data analysis and how to ultimately solve it by dedicated inter-satellite tracking in future lunar exploration missions.

Full Product Details

Author:   A. Stein ,  Freek D. van der Meer ,  Ben Gorte
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   1
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.547kg
ISBN:  

9781402005510


ISBN 10:   1402005512
Pages:   284
Publication Date:   31 March 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

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)


.,. 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. <br>(Mathematical Geology, 35: 1 (2003)


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