Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou

Xu Kai; Yuan Liangjun; Yang Bingnan; Kong Chunfang; Zhang Xialin; Zheng Jing; Zhou Qi; Wu Chonglong

doi:10.19509/j.cnki.dzkq.2020.0405

Volume 39 Issue 4

Jul. 2020

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Article Navigation > Bulletin of Geological Science and Technology > 2020 > 39(4): 37-43

Xu Kai, Yuan Liangjun, Yang Bingnan, Kong Chunfang, Zhang Xialin, Zheng Jing, Zhou Qi, Wu Chonglong. Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 37-43. doi: 10.19509/j.cnki.dzkq.2020.0405

Citation:

Xu Kai, Yuan Liangjun, Yang Bingnan, Kong Chunfang, Zhang Xialin, Zheng Jing, Zhou Qi, Wu Chonglong. Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 37-43. doi: 10.19509/j.cnki.dzkq.2020.0405

Citation:

Xu Kai, Yuan Liangjun, Yang Bingnan, Kong Chunfang, Zhang Xialin, Zheng Jing, Zhou Qi, Wu Chonglong. Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 37-43. doi: 10.19509/j.cnki.dzkq.2020.0405

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Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou

doi: 10.19509/j.cnki.dzkq.2020.0405

Xu Kai^{1a, 1b, 2
,},
Yuan Liangjun^{2, 3},
Yang Bingnan^{2, 3},
Kong Chunfang^{1a, 2},
Zhang Xialin^{1a, 1b, 2},
Zheng Jing^1a,
Zhou Qi^{2, 3},
Wu Chonglong^{1a, 1b, 2
,
,}

Received Date: 27 Nov 2019

Abstract

Abstract

The northeast Guizhou manganese ore area is taken as a study area in the paper. The associated pyrite, chlorite and the secondary manganese oxide were as extraction marks of manganese ore by analyzing the characteristics of the manganese-bearing strata, the ore deposits and the ore bodies. Furthermore, the manganese mineralization information of ASTER image is extracted by using the combined data mining method based on principal component analysis, support vector machine and ant colony algorithm, and then the abnormal region of remote sensing image is delineated. Compared with the abnormal region and the proved deposits, there is a better consistency in spatial distribution. The results show that the combined mining method system for hidden manganese ore based on the remote sensing data of associated and secondary minerals proposed in this paper is feasible and practical for delineating the favorable metallogenic area of "Datangpo type" manganese ore.
- manganese ore,
- combined data mining,
- associated mineral,
- metallogenic prognosis,
- prospecting criteria

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References(27)

References

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Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou

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Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou

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