
Proceedings Paper
A study of the deep mineralization evaluation based on field measured spectra in Wushan-copper deposit areaFormat | Member Price | Non-Member Price |
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Paper Abstract
With the development of Hyperspectra and the method of rock-mineral information extraction, several cores were
analyzed based on analytical spectral devices (ASD) and rock-mineral information extraction in Wushan-cooper deposit
area. Aiming at the low accuracy of mineral identification with hyperspectral data, the present study established regional
spectra library on the basis of the study area geological background, section noise filtering and fast Fourier transform
processing methods. Using the rapid quantificational identification model, the rock-mineral alternation information was
extracted to build core profile and 3D model to discuss the deep mineralization evaluation.
Combing with the regional metallogenic background, the alteration information indicated that the ore mineral was related
with multiple alteration assemblages and there may be rock mass in deep space. The Cu element contents and ore
mineral were closely related with the skarnization, silicification and chloritization. It also suggested that the deposit was
skarn type in less than 1000 m depth, which was affected by the sandstone. Meanwhile, in more than 1000 m depth, the
deposit was controlled by composite minerallzation types, which was associated with the previous geology and mineral
deposits studies. In summary,this study supported a two stage mineralization model for the Wushan-copper deposit
area,namely,the first stage of synsedimentary hydrothermal exhalative stage and the second stage of magmatichydrothermal
ore-forming stage.
Paper Details
Date Published: 26 November 2014
PDF: 8 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92631R (26 November 2014); doi: 10.1117/12.2068882
Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)
PDF: 8 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92631R (26 November 2014); doi: 10.1117/12.2068882
Show Author Affiliations
Haifeng Ding, Institute of Remote Sensing and Digital Earth (China)
Qinzhong Lin, Institute of Remote Sensing and Digital Earth (China)
Yu Chen, Institute of Remote Sensing and Digital Earth (China)
Qinzhong Lin, Institute of Remote Sensing and Digital Earth (China)
Yu Chen, Institute of Remote Sensing and Digital Earth (China)
Qinjun Wang, Institute of Remote Sensing and Digital Earth (China)
Linhai Jing, Institute of Remote Sensing and Digital Earth (China)
Linhai Jing, Institute of Remote Sensing and Digital Earth (China)
Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)
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