EXTRACTION OF LINEAR STRUCTURE AND ALTERATION INFORMATION USING ASTER DATA AND PROSPECTING PROGNOSIS FOR TUDUN, HAMI

CHEN Jing; ZHOU Ping

Volume 21 Issue 2

Jun. 2015

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CHEN Jing, ZHOU Ping, 2015. EXTRACTION OF LINEAR STRUCTURE AND ALTERATION INFORMATION USING ASTER DATA AND PROSPECTING PROGNOSIS FOR TUDUN, HAMI. Journal of Geomechanics, 21 (2): 209-217.

Citation:

CHEN Jing, ZHOU Ping, 2015. EXTRACTION OF LINEAR STRUCTURE AND ALTERATION INFORMATION USING ASTER DATA AND PROSPECTING PROGNOSIS FOR TUDUN, HAMI. Journal of Geomechanics, 21 (2): 209-217.

Citation:

CHEN Jing, ZHOU Ping, 2015. EXTRACTION OF LINEAR STRUCTURE AND ALTERATION INFORMATION USING ASTER DATA AND PROSPECTING PROGNOSIS FOR TUDUN, HAMI. Journal of Geomechanics, 21 (2): 209-217.

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EXTRACTION OF LINEAR STRUCTURE AND ALTERATION INFORMATION USING ASTER DATA AND PROSPECTING PROGNOSIS FOR TUDUN, HAMI

CHEN Jing,
ZHOU Ping^,

College of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

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Received: 2014-11-19
Published: 2015-06-01

Abstract

Abstract

Copper-nickel deposit of Tudun which is located on the Huangshan-Jingerquan copper-nickel mineralization belt in East Tianshan area is controlled by magmatism and tectonic action. To further prospect the minerals of this region, using thermal infrared data of Aster, the authors quantitatively retrieve SiO₂ content in the rocks from emissivity data by inversion algorithm simulated from different band ratio combination. According to the inversion map view, we extract many large silicified fault zones. Combining with the information of the faults, based on visible -near infrared bands, we obtain the fracture distribution of the study area. Principal component analysis and threshold segmentation were used to enhance the spectrum and space information and extract the iron-stained and hydroxyl alteration information. Through comprehensively analyzing the linear structure, remote sensing alteration information, rock mass distribution characteristics, regional geochemical information and known deposits, six metallogenic prospective areas are delineated.
- quantified inversion of SiO₂,
- extraction of linear structure,
- extraction of alteration information,
- prediction of mineral prospecting

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References(12)

References

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