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of local into global maps.
Indeed the observables 0 of photogrammetry or other sensors and systems are generally non-linear functions of the difference of the
point positions P and Q; these depend on time t, moreover other terms e represent corrections:
6=F(P(t),Q(t),&(P,0,1)) (17)
The terms e are often considered to be known a priori; however they can be derived from different information y, that depend in
various ways on the point position P and on time:
y - GCP,t) (18)
The displacement of point positions can be modelled with suitable functions of time:
PzH(t (19)
The parameters h of the function H have often a similar behaviour in neighbouring points, so that they can be modelled by suitable
functions of the point positions:
h=K(P) - (20)
In such a way not only the position parameters, but also the displacements can be related to the geometrical observations; moreover
surface reconstruction and form descriptors allow for a spatial analysis.
REFERENCES
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Photogrammetry- Royal Inst. of Technology, 19-20 April 1983, pp. 1.1-1.9, Stockholm.
Barbarella B., Radicioni F. (1990): Kalman Filtering in Levelling: an Application. In P. Vyskocil, C. Reigber and P.A. Cross (Eds),
"Global and Regional Geodynamics", pp. 319-328, Springer- Verlag, New York.
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Crippa B., De Haan A., Mussio L. (1989): The Formal Structure of Geodetic and Photogrammetric Observations. Proc. of the
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Colombo L., Fangi G., Mussio L., Radicioni F. (19862): Further Developments on Digital Models in a Control Problem for the
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IAPRS, Vol. 30, Part 5W1, ISPRS Intercommission Workshop “From Pixels to Sequences”, Zurich, March 22-24 1995
