Natalia Moskal
The valuation of the dispersion O ? is equal to:
3215 (A — SUN - SUR — SD) hin 1) (4.13)
where X = 5 Y 2$, 0424-424^)
Y
Thus the formulated above model (4.2) and solution (4.8)-(4.13) are considered to be the solution of the problem of
phototheodolite survey with the use of control data.
CONSOLUSIONS
1.The analysis of photogrammery data and methods of adjustment permitted to make a scheme containing main
characteristics of measured quantities series, extra data and geometrical conditions that appear in different
photogrammetry tasks. This scheme may be used for the choice of the corresponding model of mathematical processing
of photogrammetric survey.
2. Chapter 2 presents the mathematical model of joint adjustment of the measured quantities, their functions and control
data. This model is generalized in accordance with the wide class of photogrammetrical tasks. Theoretical solution of
this model covers the wide range of both, classical solution and new adjusting tasks of photogrammetry. It is proved
that the notion of functions of loses (which is widely used in regressive analysis) makes it possible to process the series
of measurements with error division different from Gauss.
3. The introduction of new geodetic and photogrammetrical methods and equipment (in particular — the use of GPS
observations provides with control of photo stations and control points) require new approaches to the process of
analytical processing of survey materials. The generalized mathematical model of phototheodolite survey (3.1) takes
into accounts all new technologies of collecting and processing data if the joint adjustment of photogrammetric
measurements and control data becomes useful and possible. Traditional methods may be treated as partial cases of this
model.
The authors present the theoretical solution of the adjustment task when control points and linear elements of exterior
orientation are known with high and almost equal accuracy (as in case with the use of GPS observation).
The presented mathematical models (2.10) and (3.1) and their solutions may be used to create new algorithms, software
for extension of functional abilities of software for analytical photogrammetric equipment and digital stations.
REFERENCE
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dunancbi H CTaTHeTHKa. 1985. 215c.
2 l'auemun B.H. Bec u3Mepenus : ero cyuiBocrb ui npakrmieckoe npuMenenenne.//Ie07e3H3 n Kaprorpadus.- 1982:
N 2.-C.14-15.
3.Jlopoxunckuii A.Jl. VpaBHuBaHMe B dororpaMMeTpHH C yUeTOM OWHÔOK HCXOAHbIX AHHbIX.//T eonesls,
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*Ocnonni HaripssMkH poaBuTky iororpaMMerpii Ta JIHCTaHliifHOTO 3OH/TyBaHHS B Vkpaiui" . Kui, 1996, c. 177-189.
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634 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000.
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