Full text: XIXth congress (Part B5,1)

Heikkinen, Jussi 
  
7 DISCUSSION 
In this paper we have shown the theoretical background of circular image blocks estimation. With simulated data we 
have been able to prove the convergency of the system. Further tests will though be required to discover the full 
cabability of this kind of imaging system. Especially in photogrammetric intersection, the potential of this system is 
really worth of investigation. The presented system is one additional tool for photogrammetric measuring systems, 
designed especially for tasks and applications where traditional methods are too unflexible and heavy to be used. 
8 REFERENCES 
  
Fraser, C., 1989. Optimization of networks in non-topographic photogrammetry. In: Non-Topographic 
Photogrammetry, edited Karara, ASPRS, Falls Church, Virginia U.S.A. pp. 95-106. 
Mikhail, E., 1976. Observations and Least Squares. IEP-A Dun-Donnelley Publisher, New York, U.S.A., pp. 303-311. 
Heikkinen, J., 1995. Three-Dimensional Modelling from Moving Images with Help of Linear Features. 
In: SPIE Proceedings Vol. 2598 Videometrics IV, Editor(s): Sabry F. El-Hakim, p. 255 - 263. 
Heikkinen, J., 1996. Object Reconstruction from Images of a Moving Camera. In: International Archives of Photo- 
grammetry and Remote Sensing. Vol. XXXI, Part B5, XVIII ISPRS Congress, Vienna, p. 220-224. 
Heikkinen, J., 1994. Linear Feature Based Approach to Map Revision. Int. Arch. of Photogrammetry and Remote 
Sensing. Athens, Georgia, U.S.A. Commission IV Symposium, pp. 344-351. 
Mulawa, D.C., 1989. Estimation and photogrammetric treatment of linear features. UMI Dissertation information 
service, Purdue, p.312. 
Mulawa, D.C., Mikhail, E.M., 1988. Photogrammetric Treatment of Linear Features. In: Int. Arch. Photogrammetry and 
Remote Sensing, Kyoto, Japan, Commission III. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B5. Amsterdam 2000. 365 
 
	        
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