The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
respectively, the comparison to the result of road updating by
using “revision based on change detection” method and current
used method is presented.
The change detection experiment indicates, about 98% of the
disappeared or partial changed roads is detected successfully on
average (check-out-ratio), about 55% judgements of whether
roads are changed or not is right on average (correct-ratio).
Although there are some wrong judged roads, the change
detection method was able to detect a majority of disappeared
or partial changed roads.
TEST NO.
METHOD
TIME
OMISSION
1
A
4'18"
2
B
8'24"
0
2
A
7' 07"
0
B
6'45"
0
3
A
4'08"
2
B
8'59"
0
4
A
4'05"
1
B
6T8"
0
5
A
3'48"
0
B
5'07"
0
Table. 1 Comparison of the current method and revision based
on change detection method on map road updating
Note: in “method” column, “A” represents current method, “B”
represents revision based on change detection method.
The comparison of our “revision based on change detection”
updating method results with the results’ of currently used
updating method indicates:
1) On the time efficiency of map road feature updating, in
testl, 3, 4, 5, revision based on change detection method is
lower than current updating method, because there are omission
roads exist by current method, and the updating workload is
less than revision based on change detection method. In test 2,
the workload are the same to current method and revision based
on change detection method, time costing are the same. 2
2) Among 5 map sheets, there are 3 map sheets exist
omission of disappeared or partial changed roads using current
updating method, while there is no omission roads existed
using the updating method this paper presented.
4. CONCLUSIONS
This paper put forward a method to update map road feature
named “revision based on change detection” method, it divided
the updating to change detection and map revision. In change
detection, this paper put forward an automatic method to detect
the partial changed or diminished road, and a semi-automatic
method to detect the newly added road.
Experiments indicate:
1) The change detection methods this paper put forward
are able to detect disappeared or partial changed roads
and the newly added roads efficiently, improves the
level of automation of change detection.
2) The road map updating methods of “revision based on
change detection” this paper put forwards avoids
omission of disappeared or partial changed roads, and
improves the automation level of road map updating.
Further research is needed on taking knowledge such as surface
features’ height, road joint relation into account to improve the
detecting-out factor and judgeing-right factor in road change
detection. More experiments are needed to testify the feasibility
and stability of the updating method this paper put forward.
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