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Remote Sensing Image Analysis: Including The Spatial Domain

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Cover of 'Remote Sensing Image Analysis: Including The Spatial Domain'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Basics of Remote Sensing
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    Chapter 2 Spatial Variability, Mapping Methods, Image Analysis and Pixels
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    Chapter 3 Sub-Pixel Methods in Remote Sensing
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    Chapter 4 Resolution Manipulation and Sub-Pixel Mapping
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    Chapter 5 Multiscale Object-Specific Analysis (MOSA): An Integrative Approach for Multiscale Landscape Analysis
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    Chapter 6 Variogram Derived Image Texture for Classifying Remotely Sensed Images
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    Chapter 7 Merging Spectral and Textural Information for Classifying Remotely Sensed Images
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    Chapter 8 Contextual Image Analysis Methods for Urban Applications
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    Chapter 9 Pixel-Based, Stratified and Contextual Analysis of Hyperspectral Imagery
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    Chapter 10 Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications
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    Chapter 11 A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing
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    Chapter 12 Image Segmentation Methods for Object-based Analysis and Classification
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    Chapter 13 Multiscale Feature Extraction from Images Using Wavelets
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    Chapter 14 Contextual Analyses of Remotely Sensed Images for the Operational Classification of Land Cover in United Kingdom
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    Chapter 15 A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery
Overall attention for this book and its chapters
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Mentioned by

syllabi
2 institutions with syllabi

Readers on

mendeley
26 Mendeley
Summary Syllabi
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Title
Remote Sensing Image Analysis: Including The Spatial Domain
Published by
Springer, January 2006
DOI 10.1007/978-1-4020-2560-0
ISBNs
978-1-4020-2560-0, 978-1-4020-2559-4
Authors

Jong, Steven M. De, Meer, Freek D. Van der, SLUITER, R, DE JONG, S, VAN DER KWAST, H, Walstra, Jan

Editors

Jong, Steven M. De, Meer, Freek D. Van der

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Master 4 15%
Researcher 4 15%
Student > Ph. D. Student 2 8%
Other 2 8%
Other 2 8%
Unknown 8 31%
Readers by discipline Count As %
Environmental Science 4 15%
Earth and Planetary Sciences 4 15%
Agricultural and Biological Sciences 3 12%
Computer Science 2 8%
Engineering 2 8%
Other 2 8%
Unknown 9 35%

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