Enhancing the resolution of urban digital terrain models using mobile mapping systems

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Feng, Yu; Brenner, Claus; Sester, Monika: Enhancing the resolution of urban digital terrain models using mobile mapping systems. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W6 (2018), S. 11-18. DOI: https://doi.org/10.5194/isprs-annals-iv-4-w6-11-2018

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Sum total of downloads: 154

Digital Terrain Models (DTMs) are essential surveying products for terrain based analyses, especially for overland flow modelling. Nowadays, many high resolution DTM products are generated by Airborne Laser Scanning (ALS). However, DTMs with even higher resolution are of great interest for a more precise overland flow modelling in urban areas. With the help of mobile mapping techniques, we can obtain much denser measurements of the ground in the vicinity of roads. In this research, a study area in Hannover, Germany was measured by a mobile mapping system. Point clouds from 485 scan strips were aligned and a DTM was extracted. In order to achieve a product with completeness, this mobile mapping produced DTM was then merged and adapted with a DTM product with 0.5 m resolution from a mapping agency. Systematic evaluations have been conducted with respect to the height accuracy of the DTM products. The results show that the final DTM product achieved a higher resolution (0.1 m) near the roads while essentially maintaining its height accuracy.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 82 53.25%
2 image of flag of United States United States 20 12.99%
3 image of flag of China China 11 7.14%
4 image of flag of Romania Romania 5 3.25%
5 image of flag of Netherlands Netherlands 5 3.25%
6 image of flag of United Kingdom United Kingdom 5 3.25%
7 image of flag of Russian Federation Russian Federation 3 1.95%
8 image of flag of Korea, Republic of Korea, Republic of 3 1.95%
9 image of flag of Italy Italy 3 1.95%
10 image of flag of Estonia Estonia 2 1.30%
    other countries 15 9.74%

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