Share Email Print
cover

Proceedings Paper

Collaborative distribution of remote sensing data based on user profile similarity
Author(s): Xinguang Li; Yang Liu; Yunhua Li; Yuhua Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150T (14 December 2015); doi: 10.1117/12.2204973
Show Author Affiliations
Xinguang Li, Henan Univ. of Technology (China)
Yang Liu, Henan Univ. of Technology (China)
Yunhua Li, Wuhan Univ. (China)
Yuhua Wang, Henan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

© SPIE. Terms of Use
Back to Top