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Proceedings Paper

Spatial data mining and object-oriented knowledge representation in image analysis
Author(s): Yan Chen; Kaimin Sun; Jian Lu; Zongjian Lin
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Paper Abstract

Spatial data mining and knowledge discovery (SDMKD) and remote sensing knowledge representation (KR) are important for the realization of intelligent and automatic image processing, so the mechanisms of knowledge acquisition, utilization, representation and storage are worthy of being researched. In this paper, an object-oriented image analysis (OOIA) is discussed and its knowledge will be summarized. Based on the object-oriented image analysis, a method of object-oriented knowledge representation and storage in XML will be proposed and the way to acquire and utilize knowledge in image analysis will also be described in a typical practice. Based on principle proposed, the authors implemented a prototype system and obtained expected results in extensive experiments.

Paper Details

Date Published: 25 July 2007
PDF: 11 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530E (25 July 2007); doi: 10.1117/12.761364
Show Author Affiliations
Yan Chen, Wuhan Univ. (China)
Kaimin Sun, Wuhan Univ. (China)
Jian Lu, Wuhan Univ. (China)
Zongjian Lin, Chinese Academy of Surveying and Mapping (China)

Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science
Jingming Chen; Yingxia Pu, Editor(s)

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