Semantic Modelling of Man-Made Objects by Production Nets

A representational scheme for the analysis of man-made structures in aerial images and maps is described. Knowledge about object structures is represented by a set of productions. The interaction of the productions is depicted by production nets. The approach is discussed in relation to similar representations. Two example nets are given to demonstrate the flexibility and applicability of the approach. The first one is on the automatic 3D structure analysis of suburban scenes in series of aerial images. The second is on the automatic construction of descriptions of complex buildings in vector maps.

[1]  Gerhard Winkler,et al.  Image analysis, random fields and dynamic Monte Carlo methods: a mathematical introduction , 1995, Applications of mathematics.

[2]  Uwe Stilla Map-aided structural analysis of aerial images , 1995 .

[3]  Wolfgang Reisig,et al.  Petri Nets and Algebraic Specifications , 1991, Theor. Comput. Sci..

[4]  James A. Anderson Associative networks , 1998 .

[5]  Heinrich Niemann,et al.  ERNEST: A Semantic Network System for Pattern Understanding , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  John P. McDermott,et al.  Rule-Based Interpretation of Aerial Imagery , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.