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

被引：0

作者：

Chen, Yan ^{[1
]}

Sun, Kaimin ^{[1
]}

Lu, Jian ^{[1
]}

Lin, Zongjian ^{[2
]}

机构：

[1] Wuhan Univ, Sch Remote Sensing Informat Engn, 129 Luoyu Rd, Wuhan 430079, Peoples R China

[2] Chinese Acad Surveying & Mapping, Beijing 100039, Peoples R China

来源：

GEOINFORMATICS 2007: GEOSPATIAL INFORMATION SCIENCE, PTS 1 AND 2 | 2007年 / 6753卷

关键词：

spatial data mining; knowledge discovery; knowledge representation; object-oriented; XML; multi-scale segmentation;

D O I：

10.1117/12.761364

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页数：11

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