Remote Sensing Image Analysis: Including The Spatial Domain
Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of inno...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2004.
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| Σειρά: | Remote Sensing and Digital Image Processing,
5 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Basics of Remote Sensing
- Spatial Variability, Mapping Methods, Image Analysis and Pixels
- Sub-Pixel Methods in Remote Sensing
- Resolution Manipulation and Sub-Pixel Mapping
- Multiscale Object-Specific Analysis (MOSA): An Integrative Approach for Multiscale Landscape Analysis
- Variogram Derived Image Texture for Classifying Remotely Sensed Images
- Merging Spectral and Textural Information for Classifying Remotely Sensed Images
- Contextual Image Analysis Methods for Urban Applications
- Pixel-Based, Stratified and Contextual Analysis of Hyperspectral Imagery
- Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications
- A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing
- Image Segmentation Methods for Object-based Analysis and Classification
- Multiscale Feature Extraction from Images Using Wavelets
- Contextual Analyses of Remotely Sensed Images for the Operational Classification of Land Cover in United Kingdom
- A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery.
