Statistically robust detection and evaluation of errors in DTMs

Author

Saati, Amirreza ; Arefi, Hossein ; Schmitt, Michael ; Stilla, Uwe

Author_Institution

Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany

fYear

2011

fDate

11-13 April 2011

Firstpage

305

Lastpage

308

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.

Keywords

error analysis; geophysical image processing; statistical analysis; terrain mapping; topography (Earth); vegetation mapping; Catalonia; DTM generation algorithm; La Mola; Spain; Terrassa; World view-1 satellite images; city areas; digital terrain models; forest steep mountainous terrain; gross errors; ground surface landform; robust statistical estimation; statistical methods; Accuracy; Area measurement; Digital elevation models; Measurement uncertainty; Remote sensing; Robustness; Systematics;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2011 Joint

Conference_Location

Munich

Print_ISBN

978-1-4244-8658-8

Type

conf

DOI

10.1109/JURSE.2011.5764780

Filename

5764780