Automating the analysis of spatial grids : a practical guide to data mining geospatial images for human & environmental applications
The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Dordrecht :
Springer Netherlands
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2012. |
| Saila: | Geotechnologies and the Environment
6 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Automating the Analysis of Spatial Grids, Texte imprimé, 9789400740747 • Automating the Analysis of Spatial Grids, Texte imprimé, 9789400740747 • Automating the Analysis of Spatial Grids, Texte imprimé, 9789400740761 • Automating the Analysis of Spatial Grids, Texte imprimé, 9789401779401 |
Aurkibidea:
- Automated Analysis of Spatial Grids: Motivation and Challenges -Geographic Information Systems -GIS Operations -Need for Automation -Spatial Grids -Challenges in Automated Analysis -Spatial Data Mining Algorithms Geospatial grids -Representation -Linearity of data values -Instrument geometry -Gridding point observations -Rasterization -Example Applications Data Structures for Spatial Grids -Array -Pixels -Level set -Topographical surface -Markov chain -Matrix -Parametric approximation -Relational structure -Applications Global and Local Image Statistics -Types of statistics -Distances -Distance transform -Probability Functions -Local measures -Example Applications Neighborhood and Window Operations -Preprocessing -Window operations -Median filter -Morphological operations -Skeletonization -Frequency Domain Convolution -Example Applications Identifying Objects -Object identification -Region growing -Region properties -Hysteresis -Active contours -Watershed Transform -Enhanced watershed -Contiguity-enhanced Clustering -Choosing an object-identification technique -Example Applications Change and Motion Estimation