Volume 1. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780792359784.

Bestandsnummer des Verk�ufers 9775829

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Bibliografische Details

Titel

Spatial Statistics for Remote Sensing (Remote Sensing and Digital Image Processing) (Volume 1)

Verlag

Kluwer Academic

Erscheinungsjahr

1999

Sprache

Englisch

ISBN-10

079235978X

ISBN-13

9780792359784

Einband

Hardcover

Zustand

Poor

Gewicht

700 Gramm

Verk�uferkataloge

Geography

�ber diesen Titel

Inhaltsangabe

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.

Cr�ticas

"...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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