Spatial data mining and object-oriented knowledge representation in image analysis

Yan Chen; Kaimin Sun; Jian Lu; Zongjian Lin

doi:10.1117/12.761364

25 July 2007 Spatial data mining and object-oriented knowledge representation in image analysis

Yan Chen, Kaimin Sun, Jian Lu, Zongjian Lin

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67530E (2007) https://doi.org/10.1117/12.761364
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Yan Chen, Kaimin Sun, Jian Lu, and Zongjian Lin "Spatial data mining and object-oriented knowledge representation in image analysis", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530E (25 July 2007); https://doi.org/10.1117/12.761364

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