14 December 2015 Collaborative distribution of remote sensing data based on user profile similarity
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Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98150T (2015) https://doi.org/10.1117/12.2204973
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
With the rapid development of earth observation technology and the rapid increase of remote sensors, the amount of remote sensing data rapidly expands, which leads to increasingly outstanding contradiction of “more and less” remote sensing data. According to the user’s preference characteristics, intelligent distribution of remote sensing data is an effective solution to the problem. The user profile model is the basis of intelligent distribution of remote sensing data. This paper intends to (1) establish the user profile model which describes the user’s preference characteristics of remote sensing data; (2) develop similarity measure methods of user profile models, according to which similarities of user preference characteristics can be calculated; (3) put forward prediction methods of the user’s ratings of remote sensing data, based on which remote sensing data can be collaboratively distributed.
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Xinguang Li, Xinguang Li, Yang Liu, Yang Liu, Yunhua Li, Yunhua Li, Yuhua Wang, Yuhua Wang, } "Collaborative distribution of remote sensing data based on user profile similarity", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150T (14 December 2015); doi: 10.1117/12.2204973; https://doi.org/10.1117/12.2204973
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