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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXX V, Part B3. Istanbul 2004
POINT 8
Figure 6 — (a) LIDAR cloud of points (the Point 8 is in the
central area); (b) detail for the Point 8 in the intensity image; (c)
detail of the Point 8 in the photographic image.
5. RESULTS
The results obtained in the processing of triangulation are
within the precision levels appropriate for photogrammetric
observations and for coordinates of ground control points.
Firstly, a global analysis of the adjustment carried out was
considered utilizing the statistical test of the qui-square, based
on the a priori (1.0) and a posteriori (0.196674) variance. It
was verified that the residues obtained in the observations
conducted are all below a pixel, what corresponds to 25 cm on
the terrain. Comparing the planimetric coordinates of the
altimetric constrainted control points obtained from the
triangulation and the ones proceeding from the laser scanning, it
is verified in Table 3 an average planimetric result of 0.513
meters, with standard deviation of 0.258. This shows that 68.8%
of the points tested are within a planimetric accuracy below 80
em and 100% of the points tested below 1.0 meter. Table 4
displays the results obtained in the points of verification. In this
case, the planimetric discrepancies obtained are smaller, but not
significant considering the small number of points analyzed and
standard deviation obtained. Therefore, the conclusion is that
the planimetric accuracy obtained in the experiment conducted
is around 75 cm and the altimetric around 80 cm.
6. CONCLUSIONS AND RECOMMENDATIONS
The results obtained in this research were encouraging and led
to the following conclusions:
- the methodology employed for the utilization of LIDAR data
and determination of points of altimetric and planimetric
control for triangulation was considered efficient:
- low-cost digital cameras may be employed in low-cost
aerophotogrammetric surveys;
- the utilization of non-simultaneous aerial surveys with LIDAR
is promising for future applications in cartographic updating;
- the utilization of the pixel as a unit in the image system was
consistent and efficient;
- the integration of LIDAR data with aerial images obtained
with small-format digital cameras was perceived as promising
considering the progressive resolution increase in the area
sensors of these cameras and the increasing number of regions
surveyed with LIDAR.
Point | dE(m) | dN(m) | dR(m) dh(m)
7 0.214 | -0.181 0.280 0.016
11 0.252 | -0.204 0.324 -0.015
13 0.201 -0.339 0.394 -0.005
14 -0.354 | -0.278 0.450 -0.094
15 -0.236 | -0.120 0.265 0.018
16 0.484 | -0.726 0.873 0.014
17 0.251 0.489 0.550 0.014
18 0.208 0.062 0.217 -0.015
19 0.004 | -0.157 0.157 0.047
20 -0:293 | 0.595 0.663 -0.005
21 0.313 | -0.438 0.538 -0.025
22 0.093 0.284 0.299 -0.042
24 -0.185 | -0.104 0.212 0.030
27 -0.097 | 0.879 0.884 0.030
28 0.650 0.189 0.677 0.000
32 -0.141 | 0.293 0.325 0.087
33 -0.551 0.416 0.690 -0.030
34 0.259 | -0.883 0.920 0.012
38 -0.836 | 0.178 0.855 0.001
39 -0.176 | 0.835 0.853 0.051
42 -0.331 | 0.092 0.344 0.001
mean | -0.013 | 0.042 0.513 0.004
s.d. 0.358 0.462 0.258 0.037
Table 3. Points with Altimetric Constraint.
Point | dE(m) | dN(m) | dR(m) | dh(m)
8 0.299 0.040 0:302 ] 0.536
37 9,172 | -0.123 | 0211 120.416
43 -0.585 | 0.219 0.625 | 0.736
90 -0.306 | -0.588 | 0.663 | -0.872
9] -0.136 | -0.052 | 0.146 | -0.436
mean | -0.111 | -0.101 0.389 | -0.090
s.d. 0.358 0.301 0.239 | 0.691
Table 4. Check Points (Free Points).
References
ANDRADE, R.R, 2001. Dedrometric Measures with
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Curitiba. UFPR, 138p.
BALTSAVIAS, E.P., 1999. Airborne laser scanning: basic
relations and formulas. ISPRS Journal of Photogrammetry &
Remote Sensing 54 (1999) 199-214p.
DELARA, R., 2003. Calibration of Non Metric, Small format
Digital Cameras Using the Pixel as unit in the Image Space.
Portuguese. Curitiba, UFPR, 46p.
GEMAEL, C. 1994. Introduction to Adjustment of
Observations: Geodetic Applications. Portuguese. Curitiba: Ed.
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