Intelligent Satellite Image Processing using Ontology

被引：0

作者：

Suriyakala, C. D. ^{[1
]}

Vedanarayanan, V. ^{[2
]}

Kumar, A. Senthil ^{[3
,4
]}

机构：

[1] Toc H Inst Sci & Technol, Kochi, Kerala, India

[2] Sathyabama Univ, Madras, Tamil Nadu, India

[3] Natl Remote Sensing Ctr ISRO, SRQA, Hyderabad, Andhra Pradesh, India

[4] Natl Remote Sensing Ctr ISRO, DQEPQC, Hyderabad, Andhra Pradesh, India

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013) | 2013年

关键词：

Image processing; software agents; ontology; satellite; images; RDF; XML schema;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Ontology is the representation of terms and their interrelationships. lt facilitates machine interpretability of web greater than that supported by XML, RDF and RDF schema. Extracting knowledge from image database is challenging and requires a deep understanding of domain-specific knowledge especially in geospatial domain. At this context we propose a new approach allowing semantic satellite image retrieval, describing the semantic image content and managing uncertain information using ontology model and a multi agent technique to compare the old and re cent data in satellite image.

引用

页码：1184 / 1187

页数：4

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