Compound geospatial object detection in an aerial image

Yi Xiao, Brian A Hope, David Tien

Research output: Book chapter/Published conference paperConference paperpeer-review

3 Citations (Scopus)
10 Downloads (Pure)


This paper introduces a knowledge based approach that can be used for the identification of jetty/bridge locations in aerial imagery. With the proposed method, the semantic network formalism to represent declarative knowledge embodied in a jetty/bridge image and the appropriate procedural knowledge, the control procedure was established. A knowledge based system was then introduced through image analysis and interpretation, aiming at accurately locating the desired objects from primary vague identification. With the advanced image processing techniques proposed here, the complexity of using knowledge based system for image analysis is reduced and the proposed method can effectively locate the compound geospatial objects of jetties and bridges.
Original languageEnglish
Title of host publicationInternational Conference on Advances in Visual Information Systems
Place of PublicationBerlin
Number of pages10
ISBN (Electronic)9783540764137
Publication statusPublished - 2007
EventVISUAL 2007, 9th International Conference - Shanghai, China, China
Duration: 28 Jun 200729 Jun 2007


ConferenceVISUAL 2007, 9th International Conference


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