he
|re
si.
tal
he
us
he
hic
for
he
ps
pal
on
and for data
thematical layers
organization on the
(coverages); (4) the
artographical analysis is and will be
afterwords the efficent method
for geographical and topographical
similarity determination and for knowledge
base interdependency; (5) the
mathematical-cartographical modelling is
the principal method for ‘the
geoinformation transformation
(conversion).
most
2 THE INTEGRATED PROCESS
FLOW PROCEDURES
The in tegrated process enntains, as a
mle, the following procedures: data
acquisition (capture), data processing,
analysis and conversion, erior analysis
and data validity and final producis
(outputs) presentation |4,0).
Data acquisition is made in the
field with topographical methods. in the
labs with photogrammetrical and RS
method: (using data from the sensors
mounted on the moving platforms) or
from direct digitizing (scanning) of mapa,
charts, photogrammes or of other kinds of
geoimages,
The data processing is performing
with complex algorithms for geometric and
mdiometric rectification, far. geodetic and
geographic location. The data analysis
involves the exploration of ielaüionships
beiween the variables amd comprises ihe
quantitative analysis, data classification
and generalization.
Data conversion is performing all
fhe time depending on the processing
and presentation demands and may be
raster-to-raster (in the case of geoimage
resampling), raster-io-veclor or
273
vector-to-raster.
The data error estimation
accompanies all the stages of integrated
process flow, or is apriori or finally made,
regarding to the final product
presentation. The error estimation is
made for location or thematical data.
3. THE INITIAL, INTERMEDIATE
AND FINAL DATA ERRORS
The complexity of integrated process
flow and the initial data heterogenity
leads directly to he heterogenitv of the
intermediate and final data estimation.
The error of cantured data have
differant sources and a sistematic or
accidental characteristic. — Egg, the
topographical, photogrammetrical or RS
measurements must be corrected for the
atmosteric refraction and Earth curvature
influence, but not completely [7].
The total spatial error is given
by the succesion of conversions and
transformations for the data contiguity
assurance mito the coordinate system
accepted for spatial (cartographic) data
base. More simple are the transformations
in the case of cartographic vectorial data
digitizing and more and more complex in
the other data capture procedures, but all
the transformations may be regarded ss
generalized polynomial transformations
[5]
p
The stochastic model of
transformation is always redundantand for
the spatial data they use accuracy
indicators like RMSE, the errors of
converted data etc.
Among the errors of initial data
there are: the calibration error, the errors
due to unstable moving of bearer veciors
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996