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Statistically Robust Detection and Evaluation of Errors in DTMs

Saati, Amirreza and Arefi, Hossein and Michael, Schmidt and Stilla, Uwe (2011) Statistically Robust Detection and Evaluation of Errors in DTMs. Jurse 2011, 11-13 April 2011, Munich.

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Abstract

Digital Terrain Models (DTMs) have been an important topic in the study of ground surface landform, therefore precise evaluation of errors in DTMs production is a critical factor to assess the quality of DTM. In this paper the attribute of errors in DTMs are characterized and robust statistical methods are proposed as accuracy measure. A method based on robust statistical estimation is presented to detect gross errors in DTMs. For practical example a region in Catalonia, Spain, including city areas (Terrassa) as well as forest steep mountainous terrain (La Mola) is selected to evaluate the performance of DTM generation algorithm and to analyze the significance of errors for World view-1 satellite images.

Item URL in elib:https://elib.dlr.de/74150/
Document Type:Conference or Workshop Item (Poster)
Title:Statistically Robust Detection and Evaluation of Errors in DTMs
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Saati, Amirrezaamir_saati (at) mytum.deUNSPECIFIED
Arefi, HosseinUNSPECIFIEDUNSPECIFIED
Michael, SchmidtUNSPECIFIEDUNSPECIFIED
Stilla, UweUNSPECIFIEDUNSPECIFIED
Date:11 April 2011
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:robust, digital terrain models, lidar, semiglobal matching, statistical measures, ground pixels
Event Title:Jurse 2011
Event Location:Munich
Event Type:international Conference, Workshop
Event Dates:11-13 April 2011
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben hochauflösende Fernerkundungsverfahreen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Arefi, Hossein
Deposited On:19 Jan 2012 11:05
Last Modified:31 Jul 2019 19:34

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