Title :
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
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;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764780
