| Description |
1 online resource (x, 320 pages) : illustrations (some color), maps (some color) |
| Series |
Geotechnologies and the environment ; v. 6 |
|
Geotechnologies and the environment ; v. 6.
|
| Contents |
Automated Analysis of Spatial Grids: Motivation and Challenges -- Geospatial Grids -- Data Structures for Spatial Grids -- Global and Local Image Statistics -- Neighborhood and Window Operations -- Identifying Objects -- Change and Motion Estimation -- Data Mining Attributes from Spatial Grids |
| Summary |
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 detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery |
| Analysis |
Geography |
|
Data mining |
|
Geographical information systems |
|
Earth Sciences |
|
Geotechnical Engineering & Applied Earth Sciences |
|
Geographical Information Systems/Cartography |
| Bibliography |
Includes bibliographical references (pages 311-314) and index |
| Subject |
Geospatial data.
|
|
Data mining.
|
|
Spatial data infrastructures.
|
|
Data Mining
|
|
TECHNOLOGY & ENGINEERING -- Remote Sensing & Geographic Information Systems.
|
|
Ingénierie.
|
|
Data mining
|
|
Geospatial data
|
|
Spatial data infrastructures
|
| Form |
Electronic book
|
| ISBN |
9789400740754 |
|
9400740751 |
|
9400740743 |
|
9789400740747 |
|
