Methods of remote sensing image mining based on concept lattice

Kun Qin; Zequn Guan; Deren Li; Xin Zhou Wang

doi:10.1117/12.538807

25 September 2003 Methods of remote sensing image mining based on concept lattice

Kun Qin, Zequn Guan, Deren Li, Xin Zhou Wang

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538807
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Kun Qin, Zequn Guan, Deren Li, and Xin Zhou Wang "Methods of remote sensing image mining based on concept lattice", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538807

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