Chaabouni-Chouayakh, Houda und Rodes, Isabel und Reinartz, Peter (2013) Towards automatic 3-D change detection through multi-spectral and digital elevation model information fusion. International Journal of Image and Data Fusion, 4 (1), Seiten 89-101. Taylor & Francis. doi: 10.1080/19479832.2012.739577. ISSN 1947-9832.
Dieses Archiv kann nicht den Volltext zur Verfügung stellen.
Offizielle URL: http://www.tandfonline.com/doi/abs/10.1080/19479832.2013.757828
Kurzfassung
Various 2-D and 3-D change detection techniques have been developed in the literature in order to monitor changes inside urban areas. Nevertheless, most of these techniques require the interaction of the user either to input data, set parameters or to train classifiers. Automatic unsupervised processes have been seldom tackled since they are very difficult to develop if high accuracies are necessary. This article provides a fully automatic change detection procedure for urban areas monitoring. It exploits at best the information provided by multispectral images and Digital Elevation Model (DEM) from two different epochs. A fusion, both at feature and decision levels, is thus proposed in order to automatically detect for each epoch the following land cover classes: buildings, shadowed areas, water bodies, ground, low and high vegetation. Applying such fusion on Ikonos stereo data acquired over an Asian urban area in spring 2006 and winter 2010 and their ensuing DEMs has proved both the efficiency and worth of the joint use of the multi-spectral and height information. A class for class comparison is carried out between the two obtained classification maps in order to detect the changes that have occurred between 2006 and 2010 over the studied area. A set of standard evaluation measures widely employed in the literature are finally computed to assess the quality of the proposed procedure.
elib-URL des Eintrags: | https://elib.dlr.de/79498/ | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Towards automatic 3-D change detection through multi-spectral and digital elevation model information fusion | ||||||||||||||||
Autoren: |
| ||||||||||||||||
Datum: | 4 März 2013 | ||||||||||||||||
Erschienen in: | International Journal of Image and Data Fusion | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 4 | ||||||||||||||||
DOI: | 10.1080/19479832.2012.739577 | ||||||||||||||||
Seitenbereich: | Seiten 89-101 | ||||||||||||||||
Verlag: | Taylor & Francis | ||||||||||||||||
ISSN: | 1947-9832 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | multi-spectral data; DEM; information fusion; automatic 3-D change detection; evaluation | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||
Hinterlegt von: | Roehl, Cornelia | ||||||||||||||||
Hinterlegt am: | 06 Dez 2012 11:11 | ||||||||||||||||
Letzte Änderung: | 20 Jun 2024 11:31 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags