DocumentCode
1481137
Title
Comparison of Automatic DSM Generation Modules by Processing IKONOS Stereo Data of an Urban Area
Author
Eckert, Sandra ; Hollands, Thomas
Author_Institution
Inst. for the Protection & Security of the Citizen, Eur. Comm., Ispra, Italy
Volume
3
Issue
2
fYear
2010
fDate
6/1/2010 12:00:00 AM
Firstpage
162
Lastpage
167
Abstract
This study deals with the evaluation of four different image-processing software modules for the generation of digital surface models from very high-resolution stereo satellite data. The analysis was done in an urban area due to the growing interest in 3-D information over built-up areas. Depending on the different geometric model approaches used by the different software packages, shifts between 3.06-3.27 m between the digital surface models (DSMs) and the reference DSM were measured. The vertical RMSE of the four tested software packages range between 2.96-14.01 m. However, the visual evaluation resulted in a different ranking and does not confirm the quantitative results entirely. The results show that, depending on the building type to be extracted, the choice of software package may vary. The challenges of automatic DSM extraction in urban areas and the performance of current software package modules to address them are discussed. Potential improvements for automatic DSM extraction in urban areas are identified.
Keywords
geophysical image processing; geophysical techniques; image matching; remote sensing; IKONOS stereo data; automatic DSM extraction; automatic DSM generation modules; digital surface models; high-resolution stereo satellite data; image matching; image-processing software modules; reference DSM; remote sensing; tested software packages; urban area; vertical RMSE; visual evaluation; Data mining; Earth; Information analysis; Optical sensors; Remote sensing; Satellites; Software packages; Solid modeling; Surface topography; Urban areas; Image matching; remote sensing; software;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2010.2047096
Filename
5456205
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