Name
Title | ||
|---|---|---|
Land use change detection using statistical signature matching and rule-based post-processing |
Abstract | ||
|---|---|---|
This paper presents a method for using multi-temporal TerraSAR-X images together with existing cartographic vector data to identify changes in land use. Typically, this would require existing imagery since direct image comparison is very sensitive for change detection. Here, the goal is to create a system that can reliably identify changes in land use automatically from a small set of multi-temporal radar images, without the necessity of having imagery available from the time of previous interpretation, which in many cases is simply not available. A particular focus is the updating of existing land use maps that were prepared without any use of SAR data. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6352609 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
cartography,geophysical image processing,land use planning,radar imaging,remote sensing by radar,synthetic aperture radar,terrain mapping,SAR data,cartographic vector data,direct image analysis,land use change detection,land use maps,multitemporal TerraSAR-X images,multitemporal radar images,rule-based post-processing method,statistical signature matching,Change detection,Geodatabase,TerraSAR-X,object-based,parametric signature comparison | Computer vision,Rule-based system,Radar imaging,Change detection,Synthetic aperture radar,Computer science,Land use, land-use change and forestry,Remote sensing,Artificial intelligence,Spatial database,Land-use planning,Land use | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mayhew, B. | 1 | 0 | 0.34 |
| Felicitas von Poncet | 2 | 0 | 0.68 |
| Michael Schlund | 3 | 3 | 3.13 |