In: Paparoditis N., Pierrot-Deseilligny M.. Mallet C., Tournaire O. (Eds). IAPRS. Vol. XXXVIII. Part ЗА - Saint-Mandé, France. September 1-3. 2010
the membership of a wall to either of the two classes "wall
exists" or "wall demolished". The fuzzy approach has been used
in many works (Carlsson and Fullér, 1996; Sasikala and Petrou,
2001; Kumar et al., 2009). We only describe how it is used for
this work.
Using training data, the fuzzy membership to the class “wall
exists” at a given value of a measure is computed as the
proportion of the number of existing walls to the total number
of existing and demolished walls. The size of walls is also used
as a weight. For example, if for all walls used in experiments, a
total of 30 walls result to Lines Match Ratio of 0.9 with 25 of
them from existing walls and 5 from demolished ones, then the
fuzzy membership for “building exists” at Lines Match Ratio
0.9 is 0.83 (25/30) and membership to “building demolished”
is 0.17(5/30).
Fuzzy membership curves for all measures have been derived
from experiments as shown in Figure 9 and then curves have
been generalized to fuzzy membership functions.
4. COMBINING MEASURES FOR A WALL AND FOR
A BUILDING
4.1 Combining memberships for a wall
The evidence theory was introduced by Dempster and Shafer
(Dempster, 1967; Shafer, 1976) and has since then been studied
and applied in many research works (Tahani and Keller, 1990;
Rottensteiner et al., 2005; Kumar et al., 2009; Frigui et al..
2010). The general intention is to give a higher weight to more
reliable measures and vice versa for the less reliable ones in
order to reduce the conflict that arises between measures. The
problem is usually on how to quantify the reliability when there
is conflicting evidence from different sources.
reliability of 0.4, which is normalized to 0.5 and then combined
membership is 0.5. This is as expected because the
memberships are very contradicting and we have no other
reasons to select any one of them as correct or wrong. The
result 0.5 implies complete ambiguity on whether the wall
exists or is demolished.
4.2 Combining wall memberships for a building
The overall building verification is derived from memberships
of different walls. For each wall a combined membership is
obtained and then a summary measure is obtained as the mean
of the wall memberships weighted by the wall sizes.
5. RESULTS
5.1 Fuzzy memberships for walls
A fuzzy membership function for each of the measures has been
derived from experiments with a number of walls (total 500
walls) for existing and demolished (simulated) buildings (total
17 buildings). Figure 9 show's different membership curves for
different measures. For each measure the x-axis is the measure
and y-axis is the membership to class “wall exists”. For
example, the Lines Match Ratio curve show's for all values from
0.2 to 1 the corresponding membership is 1.
The measures have strengths and weaknesses that are used in
obtaining the overall wall membership. Their characteristics can
be generalized as follows.
Lines Match Ratio is generally reliable because it clearly
distinguishes existing and demolished walls. When walls exists
the match ratios are high and when the w’alls are demolished the
match is low.
In our case we combine fuzzy memberships using weights. The
weights, also here referred to as reliability is derived from
memberships from different measures. A measure that returns a
membership closer to 1 (exists) or closer to 0 (demolished) is
assumed more reliable while close to 0.5 (equal membership to
‘exists’ and ‘demolished’), assumed less reliable. To a decision
maker, no conclusion can be made when the membership is 0.5
for both classes “wall exists” and “wall demolished”. Reliability
Wi is thus a deviation of a membership TTli from 0.5 and is
computed with bias to memberships close to 0 or 1 by raising
the deviation to a power /7 to obtainm;
(
I m-i — 0.5
075
For example, if for 4 walls we obtain membership from Lines
Match Ratios as 1.0. 0.5, 0.0 and 0.1, using the power of 4, the
reliability for each of these will be 1.0, 0.0, 1.0 and 0.4. The
measures that classify more walls into one class (“wall exists”
or “wall demolished”) are thus assigned more reliability.
For each wall we obtain the reliability of each measure and then
the combination is an aggregation of the memberships obtained
from all measures weighted by the reliability (Yager, 1988;
Sasikala and Petrou, 2001).
For the number of measures (oi, a 2 ,a n ) with reliability
(u>i, w-2, ...w n ) such that u),e[0,1] and normalized so that
JZ" Wi — 1, the combined membership is
F(ai,a 2 a») = a o w .v
For example, if for a wall only two measures are available and
result to memberships 0.9 and 0.1, then they are of equal
With SIFT Match Ratio, most existing walls result to the ratio
above 0. When it is around 0 the membership is close to 0.5,
that is half of the walls exist and another half do not. It is
reliable for match ratios above 0.
Lines Direction Ratio has a big range of walls at around 0.5
memberships, not clear whether the walls exist or not, meaning
less reliability but when it is at 0 nearly all walls are
demolished. This is useful for identifying demolished walls
even when the Lines Match Ratio is not available.
For Building Edges Ratio most existing and demolished walls
result to 0.0 because many wall edges are not detected in the
images. The Building Edges Ratio is then not reliable. This
measure is therefore not useful for identifying demolished
buildings. The measure is useful for identifying existing walls
even when one image is available for an edge. The Correlation
Coefficient Ratio is similar to the Lines Match Ratio while
Correlation Coefficient -corners is similar to SIFT Match Ratio.
The reliability of the different measures in different contexts
has been used in arriving at combined memberships. Notice that
when multiple images for one facade are not available the only
measures available are Building Edges Ratio and Lines
Direction Ratio. If a wall is demolished then the only useful
measure is Lines Direction Ratio because Building Edges Ratio
is reliable for existing walls. The Lines Direction Ratio is also
not generally reliable as there may be lines in images that result
to 3D vertical and horizontal lines when a wall does not exist.
The Lines Direction Ratio is more useful when there are no