Özcan, Abdullah H. und Cem, Ünsalan und Reinartz, Peter (2014) A Systematic Approach for Building Change Detection using Multi-Source Data. In: 22nd Signal Processing and Communications Applications Conference (SIU 2014), Seiten 477-480. IEEE Xplore. 2014 IEEE 22nd Signal Processing and Communications Applications Conference (SIU 2014), 2014-04-23 - 2014-04-25, Trabzon, Turkey. doi: 10.1109/SIU.2014.6830269.
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Offizielle URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6820096
Kurzfassung
Recent sensors give valuable data for remote sensing applications. Among these, building and change detection are important problems. Therefore, researchers worked on these problems using both 2D and 3D data. Some previous studies used only 2D data due to their availability. Yet others used either 3D data alone or 2D and 3D data in a joint manner. Besides, some studies only focused on building detection. Yet others used detected building information in change detection. In this study, we focus on 3D change detection based on building information. Therefore, we first detect buildings. At this step, we benefit from both 2D and 3D data. Then, we locate changes based on these detected buildings.We detect building pixels using panchromatic,multispectral, and Digital Surface Model (DSM) data using a decision tree classifier. Then, we refine the detected building pixels using morphological and shape based operations. Finally, we apply an object based hierarchical change detection method on the refined pixels. We tested our method on 780 buildings and obtained promising results.
elib-URL des Eintrags: | https://elib.dlr.de/89530/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | A Systematic Approach for Building Change Detection using Multi-Source Data | ||||||||||||||||
Autoren: |
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Datum: | April 2014 | ||||||||||||||||
Erschienen in: | 22nd Signal Processing and Communications Applications Conference (SIU 2014) | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/SIU.2014.6830269 | ||||||||||||||||
Seitenbereich: | Seiten 477-480 | ||||||||||||||||
Verlag: | IEEE Xplore | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Buildings Data mining Decision trees Feature extraction Remote sensing Shape Three-dimensional displays, Data mining, Decision Trees, Feature extraction, Remote sening, Shape, Three-dimensional displays | ||||||||||||||||
Veranstaltungstitel: | 2014 IEEE 22nd Signal Processing and Communications Applications Conference (SIU 2014) | ||||||||||||||||
Veranstaltungsort: | Trabzon, Turkey | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 23 April 2014 | ||||||||||||||||
Veranstaltungsende: | 25 April 2014 | ||||||||||||||||
Veranstalter : | Karadeniz Technical University | ||||||||||||||||
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: | UNGÜLTIGER BENUTZER | ||||||||||||||||
Hinterlegt am: | 23 Jun 2014 16:08 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 19:55 |
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