ınbul 2004
| model is
the model
he longest
9 triangles
only 6 had
e ability of
dinate sys-
(8 3.2), 5
sumed then
53.3). The
was under-
eters, then
e algorithm
n was mea-
1sformation
ormation,
lacement of
The set was
reater New-
iter Newcas-
nce of 0.Im
ts. A com-
>d from sur
0.25m. Only
yf the set was
ints, and one
departure of
d with a GPS
od. Its accu
pproximately
matched sets
ng programme
arse GPS set
nse data. The
Il triangles
t represent ae
clusters. After
lise numeric
resulting in?
ected tO occ!
to planimetr
International Archives of the Photo grammetry, R
200
100 4 Lor Ca
„450 7) 100
-100
-200 ^ -200
-300
Figure 2: ALS and GPS Data Sets
errors (Huising and Gomes Pereira, 1998), and the set used
was part of a much larger set adjusted globally. Moreover,
the programme matches 5$» on the triangulated model S,
not on the true surface. The accuracy of the matching to
the true surface depends on the faithfulness of the model
to the true surface and is a function of the density of the
reference surface S, (Páquet, 2003b). The parameters of
the adjustment are:
Rotation Angles (degrees): w = 0.0159
Q = 0.0072
Ko om -00650
Translation (m): Ix = 0.0773
Ty = "0.0031
Ty = —0.0496
Scaling: Sod es 0.9999
It is assumed that the position of S5 after the prepara-
tion adjustment accurately describes the true surface. No
checks are available to determine this accuracy. The sole
measure of precision is that provided by the least squares
method. The separation between the two surfaces after it-
eration termination can only be assessed with the residuals
ofthe least squares adjustment.
The residuals of the least squares are not directly indica-
tive of the accuracy of the registration: some of the resid-
uals occur in the large patches formed by the triangula-
tion between the six clusters of GPS data. The total num-
ber of triangles in S, is 1,719. The number of triangles
With an area under 6m? is 1,569. Their combined sur-
face area is 28,637m?, which represents 38.3796 of the
total triangulated area of 74,638m?. The total number of
residuals obtained in the matching is 14,649 (out of 27,748
points: see explanation below). Assuming that the small-
est residuals occur within the smallest triangles, the matrix
ofresiduals is sorted by size. The 5,620 smallest residuals
(or 38.37% of the matrix of residuals) have values rang-
ing from 0.000038m to 0.4918m. The mean and standard
deviation are respectively 0.2123m and 0.1420m. By con-
rast, the largest residual in the matrix of residuals has a
Value of 4.4123m, and the mean and standard deviation
are 1.1466m and 1.0356m respectively. This assumption
1175
emote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
is validated in Figure 3(c), which shows residuals of value
smaller than 0.1 m produced within the six clusters.
200 -
150 -
-50 -
-100 -
-150 -
-200 ~ L ! e 1 H t .
-200 -150 -100 -50 0 50 100 150 200
(a) Reference Surface S
200
150
50
-100 -
-150
-200
-200 -150 50 100 150
(b) All Residuals
0.05m
-209 1 i 1
50
100
(c) Smaller Residuals
Figure 3: Configuration and Magnitude of Residuals
52 has a total area of approximately 149,740m?. The six
clusters of Sy represent an area of approximately 28,637m?
or 19.196 ofthe ALS surface. Of the 27,748 points of 5S5,
only 14,649 were included in the last iteration of the pro-