A visual geographic knowledge classification and its relationship to the KADS model extended summary

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1747, Issue , 1999, Pages 478-479

  Crowther, Paul ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Expert systems; Geometric or spatial reasoning; Knowledge acquisition

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE RECONSTRUCTION; KNOWLEDGE ACQUISITION; PIXELS; REMOTE SENSING;

IMAGE INTERPRETERS; KNOWLEDGE CLASSIFICATION; KNOWLEDGE MODEL; PIXEL MODELS; RASTER IMAGE; SATELLITE REMOTE SENSING; SPATIAL REASONING; VECTOR IMAGES;

EXPERT SYSTEMS;

EID: 84946899344     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46695-9_45     Document Type: Conference Paper

References (5)

1. Armstrong, M. P, 1991, Knowledge Classification and Organization, in Buttenfield B.P. and McMaster, R.B., Map Generalization: Making Rules for Knowledge Representation, Longman, Ch. 5, pp.86-102.
2. Crowther, P., Hartnett, J., 1996, Knowledge Acquisition for Expert Systems used wdth a Geographic Expert Systems, Proceedings of AURISA'96, Hobart.
3. Kweon, I. S. and Kanade, T., 1994, Extracting Topographic Terrain Features From Elevation Maps, CVGIP: Image Understanding, Vol. 59, No. 2, pp.171-182.
4. McKeown, D. M., Harvey, W.A. and Wixson, L.E., 1989, Automating Knowledge Acquisition for Aerial Image Interpretation, Computer Vision and Graphics, Vol. 46, pp. 37-81.
5. Wielinga, B. J., Schreiber, A. T. and Breuker, J. A, 1992, KADS: A Modelling Approach to Knowledge Engineering, Knowledge Acquisition, Vol. 4, No. 1.