Information Extraction and Modeling from Remote Sensing Images: Application to the Enhancement of Digital Elevation Models
Abstract:
To deal with high complexity data such as remote sensing images presenting metric resolution over large areas, an innovative, fast and robust image processing system is presented.
The modeling of increasing level of information is used to extract, represent and link image features to semantic content.
The potential of the proposed techniques is demonstrated with an application to enhance and regularize digital elevation models based on information collected from RS images.
The modeling of increasing level of information is used to extract, represent and link image features to semantic content.
The potential of the proposed techniques is demonstrated with an application to enhance and regularize digital elevation models based on information collected from RS images.
| Zugehörige Institution(en) am KIT | Institut für Photogrammetrie und Fernerkundung (IPF) KIT-Zentrum Klima und Umwelt (ZKU) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2009 |
| Sprache | Englisch |
| Identifikator | urn:nbn:de:swb:90-175177 KITopen-ID: 1000017517 |
| Verlag | Universität Karlsruhe (TH) |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU) |
| Institut | Institut für Photogrammetrie und Fernerkundung (IPF) |
| Prüfungsdaten | 09.02.2009 |
| Schlagwörter | Image analysis, image segmentation and topology, information extraction and modeling, DEM regularization and filtering |
| Nachgewiesen in | OpenAlex |
| Referent/Betreuer | Hinz, S. |