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

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

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


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.

Item URL in elib:https://elib.dlr.de/95559/
Document Type:Article
Title:Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Geiß, ChristianUNSPECIFIEDhttps://orcid.org/0000-0002-7961-8553UNSPECIFIED
Wurm, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5967-1894UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:August 2015
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 4348-4362
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Digital surfacemodels (DSM), digital terain models (DTM), morphological filters, TanDEM-X
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
German Remote Sensing Data Center > Land Surface
Deposited By: Geiß, Christian
Deposited On:24 Mar 2015 11:42
Last Modified:27 Nov 2023 12:56

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