DocumentCode
1898870
Title
Notice of Retraction
Multi-Source Data Fusion Technology and Its Application in Geological and Mineral Survey
Author
He Hujun ; Zhao Yaning
Author_Institution
Sch. of Earth Sci. & Resources, Chang´an Univ., Xi´an, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
6
Abstract
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.
Analysing the application signification of multi-source data fusion technology in geological and mineral survey, this paper introduces concrete concept, basic methods of multi-source data fusion technology, summarizes its work flow, implementation steps, key technologies and notice proceeding of application in geological and mineral survey according to the characteristic of geological and mineral survey. Combined with the project of 1:50000 regional geological and mineral survey along the southeast of Heishan mountain in Xinjiang, remote sensing image TM, ETM were processed such as extended contrast, ratio increased, principal component analysis, color space conversion and false color composite, remote sensing image data and raster element geochemical maps or discrete data of samples analysis were carried out fusion and overlaying using the geometric mean method, at last structure information and alteration information in the study area were interpreted and extracted to obtain a better geological effect and guide the rational deployment of regional survey work.
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.
Analysing the application signification of multi-source data fusion technology in geological and mineral survey, this paper introduces concrete concept, basic methods of multi-source data fusion technology, summarizes its work flow, implementation steps, key technologies and notice proceeding of application in geological and mineral survey according to the characteristic of geological and mineral survey. Combined with the project of 1:50000 regional geological and mineral survey along the southeast of Heishan mountain in Xinjiang, remote sensing image TM, ETM were processed such as extended contrast, ratio increased, principal component analysis, color space conversion and false color composite, remote sensing image data and raster element geochemical maps or discrete data of samples analysis were carried out fusion and overlaying using the geometric mean method, at last structure information and alteration information in the study area were interpreted and extracted to obtain a better geological effect and guide the rational deployment of regional survey work.
Keywords
geology; geophysical image processing; geophysical techniques; image colour analysis; image fusion; minerals; principal component analysis; remote sensing; ETM image; Heishan mountain; Xinjiang; alteration information; color space conversion; false color composite; geological survey; geometric mean method; last structure information; mineral survey; multisource data fusion technology; principal component analysis; raster element geochemical maps; regional survey work; remote sensing image data; Data mining; Feature extraction; Image resolution; Minerals; Remote sensing; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Type
conf
DOI
10.1109/ICIECS.2010.5678248
Filename
5678248
Link To Document