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Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters

Geiß, Christian und Wurm, Michael und Breunig, Markus und Felbier, Andreas und Taubenböck, Hannes (2015) Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters. IEEE Transactions on Geoscience and Remote Sensing, 53 (8), Seiten 4348-4362. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/tgrs.2015.2396195. ISSN 0196-2892.

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Offizielle URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7056467

Kurzfassung

The TanDEM-X mission (TDM) is a spaceborne Radar interferometer which delivers a global digital surface model (DSM) with an unprecedented spatial resolution. This allows resolving objects above ground such as buildings. Extracting and characterizing those objects in an automated manner represents a challenging problem but opens simultaneously a broad range of large-area applications. In this paper, we discuss and evaluate the suitability of morphological filters (MFs) for the derivation of normalized DSMs from the TDM in complex urban Environments and introduce a novel region-growing-based progressive MF procedure. This approach is jointly proposed and can be combined with a postclassification processing scheme to specifically allow for a viable reconstruction of urban morphology in a challenging terrain. The filter approach comprises a multistep procedure using concepts of morphological image filtering, region growing, and interpolation techniques. Therefore, it extends the idea of progressive MFs. The latter aim to identify nonground pixels in the DSM by gradually increasing the size of a structuring element and applying iteratively an elevation difference threshold. After the identification of initial nonground pixels, here, potential nonground pixels are identified within each iteration, and their similarity with respect to neighboring nonground pixels is assessed. Pixels are finally labeled as nonground if a constraint is fulfilled. The postclassification processing scheme adapts techniques of object-based image analyses to further refine regions of classified nonground pixels. Digital terrain models are subsequently generated by interpolating between identified ground pixels. Experimental results are obtained for settlement areas that cover large parts of the cities of Izmir (Turkey) and Wuppertal (Germany). They confirm the capability of the proposed approaches for a reduction of omission errors compared to basic MF-based methods when classifying ground pixels, which is favorable in a mountainous Terrain with steep slopes.

elib-URL des Eintrags:https://elib.dlr.de/95559/
Dokumentart:Zeitschriftenbeitrag
Titel:Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Geiß, ChristianChristian.Geiss (at) dlr.dehttps://orcid.org/0000-0002-7961-8553NICHT SPEZIFIZIERT
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894NICHT SPEZIFIZIERT
Breunig, Markusmarkus.breunig (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Felbier, Andreasandreas.felbier (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126NICHT SPEZIFIZIERT
Datum:August 2015
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:53
DOI:10.1109/tgrs.2015.2396195
Seitenbereich:Seiten 4348-4362
Verlag:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:veröffentlicht
Stichwörter:Digital surfacemodels (DSM), digital terain models (DTM), morphological filters, TanDEM-X
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 Zivile Kriseninformation und Georisiken (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit
Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Geiß, Christian
Hinterlegt am:24 Mär 2015 11:42
Letzte Änderung:27 Nov 2023 12:56

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