The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
907
solid solution
unavailable
pseudo-range
solution
differential
GPS solution
solid RTK
solution
float RTK
solution
Total
original point num
and portion of total
10, 0.5%
741,39.9%
362, 19.5%
388, 20.9%
357, 19.2%
1858
filter remained
(Tx,Ty,Tz=5.0)
0, 0%
582, 39.7%
289, 19.7%
328, 22.4%
268, 18.3%
1467
filter remained
(Tx,Ty,Tz=7.0)
0, 0%
607, 39.6%
295, 19.2%
349, 22.8%
281, 18.3%
1532
filter remained
(Tx,Ty,Tz=10.0)
0, 0%
623, 39.3%
308, 19.4%
360, 22.7%
296, 18.7%
1587
Tab.l Network RTK filtered result analysis
In the automatic integration work of GPS and DR of mobile
mapping, the integration result also shows that filtered result of
network RTK can make better solution for mobile mapping’s
positioning and posing work compared to the original data.
Some complicated city area has even obvious improved
solution, and the filtering work in the paper also help mobile
mapping based on network RTK meet the requirement of
1:2000 scale mapping better than the original network RTK
data.
5. CONCLUSION AND PROSPECTS
This paper discussed how to improve the reliability of network
RTK in dynamic direct georeferencing positioning of land-
based mobile mapping. Based on the dynamic characteristic of
Doppler and DGPS 3D speed of the mobile platform, we
filtered error data in sequential network RTK data. The
experiment is performed based on the mobile mapping’s
positioning data of Shanghai Yan’an Road, one of the most
typical circumstances in metropolis. The analysis shows that
network RTK can be used for mobile mapping in metropolis,
and filtering method presented in the paper can filter crude part
in network RTK data and thus improve the network RTK
reliability and accuracy for city mobile mapping.
Land-based mobile mapping has much more potential and
revolutionary impetus in improving city’s development and
management of infrastructure, utility, facility, emergency
response, public security and so on. That calls for better
development of mobile mapping itself. Network RTK is built in
more and more big cities, and it has very distinguished
economic and performance advantages compared to the
traditional GPS. The next step of our work is to interpolate
good points in sequential position data instead of the current
filtering in dynamic network RTK application. In that issue,
we’ll use high accuracy characteristics provided by differential
Doppler measurement.
ACKNOWLEDGEMENTS
The paper is substantially supported by National 863 High-tech
Project “Complicated Features’ Extraction and Analysis from
Central Districts in Metropolis”, ChangJiang Scholars Program,
Ministry of Education, PRC and Tongji University “985”
Project Sub-system “Integrated Monitoring for City Spatial
Information”. The author would like to thank ChangJiang
Scholars Dr. Ron., Li and Dr. Hongxing Sun for their
substantial help.
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