A knowledge-based framework for geographic map image analysis

• Autorzy: Stąpor K.
• Języki publikacji: EN

Abstrakty

EN

In this paper a flexible and generally applicable knowledge--based framework for large-scale geographic map image analysis is proposed. The described framework is composed of three schemas, namely: map model, object detectors and image analysis flow scheme. A new, efficient hybrid knowledge representation scheme, and a flaxible, mixed control strategy based on reasoning with incomplete information are proposed. To increase reliability and accuracy of map image analysis, accumulation of information from defferent sources is used. The proposed approach has been implemented in the map conversion module MAPIN of the Integrated Spatial Organization System SIT, [20].

Słowa kluczowe

EN

document image analysis; geographic map image interpretation; model--based analysis; graphics/ text recognition; vectorization

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 3
• Strony: 647--671
• Opis fizyczny: Bibliogr. 31 poz.

Twórcy

autor

Stąpor K.

• Institute of Computer Science Silesian Technical University,