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Elimination of the outliers from Aster GDEM data

Arefi, Hossein und Reinartz, Peter (2010) Elimination of the outliers from Aster GDEM data. Canadian Geomatics Conference 2010, 2010-06-14 - 2010-06-18, Calgary, Canada.

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Kurzfassung

Digital Elevation Models (DEM) provided by stereo matching techniques often contain unwanted outliers due to the mismatched points. Detected outliers are candidate for wrong data that may otherwise adversely lead to model misspecification, biased parameter estimation and incorrect results. Therefore detection of outlying observations and elimination of them from the data is considered as one of the first steps towards obtaining a refined DEM. Several statistical and non-statistical methods are available for analyzing the point cloud and extracting the outliers. The statistical methods often assume that the data follow a Gaussian normal distribution and hence, they look for the observations which are represented doubtful based on mean and standard deviation. In Digital Elevation Models generated from ASTER data the outliers, i.e., artifacts and anomalies, are represented as the following types: residual clouds, and errors due to different stack numbers: it occurs when generating the final GDEM from variable number of individual ASTER DEMs. In this paper a segment-based algorithm is proposed for detecting and eliminating the outliers from ASTER GDEM images. Furthermore, a water mask is produced as an additional layer representing the lower quality of the pixels located on inland water bodies. In the segment-based algorithm, the potential regions are iteratively extracted and evaluated using geometrical feature descriptors to classify the outliers and non-outlier regions. After eliminating the location of the outliers in original ASTER GDEM, an interpolation procedure is employed to fill the gaps. The quality of the final product is compared to the SRTM data and quality parameters are measured.

elib-URL des Eintrags:https://elib.dlr.de/64644/
Dokumentart:Konferenzbeitrag (Vortrag, Vorlesung, Paper)
Titel:Elimination of the outliers from Aster GDEM data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Arefi, Hosseinhossein.arefi (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475NICHT SPEZIFIZIERT
Datum:14 Juni 2010
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 1-5
Status:veröffentlicht
Stichwörter:ASTER GDEM, outliers, artifacts elimination, segmentation, geodesic morphological process
Veranstaltungstitel:Canadian Geomatics Conference 2010
Veranstaltungsort:Calgary, Canada
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:14 Juni 2010
Veranstaltungsende:18 Juni 2010
Veranstalter :ISPRS Comission 1
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Bildwissenschaften (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von: Arefi, Hossein
Hinterlegt am:12 Jul 2010 07:42
Letzte Änderung:24 Apr 2024 19:29

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