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Notice of Retraction
Study of Multi-Resource Data Assisting Issue of Remote Sensing Image

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1 Author(s)
Hao Binbin ; Resource Coll., Hebei Univ. of Eng., Handan, China

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

According to the characteristics of remote sensing image, we analyzed traditional problem of issue of remote sensing images, researched and explored the feasibility and necessity of issue of remote sensing image by using multi-resource data under the current network model; the article pointed out that. Assist issue of remote sensing image by the management and application of multi-source such as GIS, metadata and so on, resulting in improving work of the server and the efficiency of data index of the client server.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009