DocumentCode :
1727126
Title :
RS Image Content-Based Semantic Retrieval System for Mt. Tai Scenic Spots and Historical Relics
Author :
Yaqin, Wang ; Hua, Gao ; Yong, Liang ; Weixing, Shen
Author_Institution :
Shandong Univ. of Sci. & Technol., Tsingdao
fYear :
2007
Abstract :
The status in quo of remote sensing (RS) image inquiry is discussed in this paper firstly. Then, on the basis of analysis of content-based image inquiry and image data characteristics, an image content-based retrieval method supported by GIS is proposed. This method makes the fusion of image data and vector data\´s attribute, so it can assign the semantic information to image data indirectly and realize image inquiry. Finally, supported by "digital Mt. Tai construction" project, the semantic retrieval method of Mt. Tai scenic spots and historical relics based on RS image data content is studied and a well-planned scheme and framework to construct the retrieval system is proposed. It is ensured that the management level of Mt. Tai scenic spots and historical relics and service level of Mt. Tai tourism industry is promoted.
Keywords :
content-based retrieval; image retrieval; remote sensing; GIS; Mt. Tai scenic spots; historical relics; image content based semantic retrieval system; image data fusion; remote sensing image inquiry; semantic information; Agricultural engineering; Content based retrieval; Educational institutions; Geographic Information Systems; Image recognition; Image retrieval; Information retrieval; Instruments; Management Committee; Pixel; GIS; RS image; scenic spot; semantic retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4350821
Filename :
4350821
Link To Document :
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