Jamet - 8
mountainous areas, even if the contours keep an acceptable cartographic aspect, the
process won't fit the requirements (as expected), due to the presence of a dense forest
coverage. On the three other areas, the prognostic is better. The overall accuracy seems
compatible with the BDTopo content (complementary quality controls on the manual
contour lines of the BDTopo are being performed to confirm this point). Moreover, as
shows fig. 1, the remaining errors, that are mainly due to the presence of dense
vegetation in the thalwegs, seem easily detectable from their characteristic shapes, and
should represent an acceptable editing time (manual digitisation of the contour represent
from 10 to 15 hours works on an equivalent area of an average landscape).
4. Comparison of the two processes
4.1. Weaknesses of semi-automatic methods.
The first experience lead on road extraction can temperate much enthusiasm about the
introduction of automatic tasks in an interactive process. It appears that the addition of
new tools in the operator environment, be they quite efficient by themselves, also brings
more complexity in the capture task. If the time for actual data capture decreases much,
this benefit keeps far lesser on the overall time (which is the only of interest for the
producer).
Unfortunately, the time losses due to the automation itself (that is to the errors of the
road follower) keep low in the present experience. This means that we cannot count
with an amelioration of the process based on a simple amelioration of the robustness of
the automatic road follower. The major part of this "unproductive" time is spent in
waiting... for the operator reaction. This keeps quite affordable in rural areas where long
roads in a simple context can be handled as single objects. But this makes a fully
manual capture as efficient in urban areas, where the road sections are quite short, and
the interaction level keeps very high. Theses results may be significant at a more
general level: data capture isn't reduced to plotting, but includes a logical definition of
objects (through topology handling in our case). When the density of relations between
objects is high, the management of the representation becomes the bottleneck of the
process.