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Proceedings Paper

Methods of remote sensing image mining based on concept lattice
Author(s): Kun Qin; Zequn Guan; Deren Li; Xin Zhou Wang
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Paper Abstract

The paper researched the theory of concept lattice and the algorithms of association rule mining based on concept lattice, introduced the methods into remote sensing image mining, analyzed and discussed the spectrum characteristics mining, texture characteristics mining, shape characteristics mining and spatial distributing laws mining, analyzed the application of remote sensing image mining, such as the automation classification, intelligent retrieval of remote sensing image etc., finally, discussed some research directions.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538807
Show Author Affiliations
Kun Qin, Wuhan Univ. (China)
Zequn Guan, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Xin Zhou Wang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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