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...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Dordrecht, Netherlands :
Springer
[2004]
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| Edition: | 1st ed. 2004. |
| Series: | Remote Sensing and Digital Image Processing,
5 |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009454753406719 |
Table of Contents:
- 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.
