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Remote Sensing Image Analysis: Including The Spatial Domain
Overview of attention for book
Table of Contents
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Book Overview
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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
Citations
dimensions_citation
82
Dimensions
Readers on
mendeley
26
Mendeley
Book overview
1. Basics of Remote Sensing
2. Spatial Variability, Mapping Methods, Image Analysis and Pixels
3. Sub-Pixel Methods in Remote Sensing
4. Resolution Manipulation and Sub-Pixel Mapping
5. Multiscale Object-Specific Analysis (MOSA): An Integrative Approach for Multiscale Landscape Analysis
6. Variogram Derived Image Texture for Classifying Remotely Sensed Images
7. Merging Spectral and Textural Information for Classifying Remotely Sensed Images
8. Contextual Image Analysis Methods for Urban Applications
9. Pixel-Based, Stratified and Contextual Analysis of Hyperspectral Imagery
10. Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications
11. A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing
12. Image Segmentation Methods for Object-based Analysis and Classification
13. Multiscale Feature Extraction from Images Using Wavelets
14. Contextual Analyses of Remotely Sensed Images for the Operational Classification of Land Cover in United Kingdom
15. A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Florida International University
2
Unknown
Unknown
1
Unknown