气候变化领域集成服务门户(CCPortal): CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet

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DOI	10.3390/min13060730
	CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet
	Ding, Ke; Xue, Linfu; Ran, Xiangjin; Wang, Jianbang; Yan, Qun
发表日期	2023
EISSN	2075-163X
卷号	13 期号:6
英文摘要	Intelligent prospecting and prediction are important research foci in the field of mineral resource exploration. To solve the problem of the performance degradation of deep convolutional neural networks, enhancing the attention to target information and suppressing unnecessary feature information, this paper proposes a new prospecting prediction method based on a two-dimensional convolutional neural network (CNN2D). This method mainly uses known Cu deposits as the positive sample labels, adopts the sliding window method for data enhancement, and uses the window area as a unit to extract spatial variation features. It is important to supplement squeeze-and-excitation networks (SENets) to add an attention mechanism to the channel dimension, assign a weight value to each feature layer, and finally make prospecting predictions by matching the features of the known deposit window area and the features of the unknown window area. This method allows the neural network to focus on certain characteristic channels and realizes prospecting prediction in the case where there are few known deposits so that the deep learning method can be more effectively used for the prospecting prediction of mineralization. Based on geological data, geochemical exploration data of water system sediments, and aeromagnetic data, and via this method, this study carried out prospecting prediction of Cu deposits in the Zhunuo area of Tibet and predicted 12 favorable Cu prospecting prediction areas. Combined with previous research results and field exploration, the predicted result is consistent with the established mineralization and prospecting pattern and has good prospects for Cu deposit prospecting.
关键词	CNN2D SENet data enhancement Cu deposits prospecting prediction
英文关键词	CONVOLUTIONAL NEURAL-NETWORK; ISOTOPIC CONSTRAINTS; BIG DATA; COPPER; METASOMATISM; EVOLUTION; PROVINCE
WOS研究方向	Geochemistry & Geophysics ; Mineralogy ; Mining & Mineral Processing
WOS记录号	WOS:001014907800001
来源期刊	MINERALS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283299
作者单位	Jilin University
推荐引用方式 GB/T 7714	Ding, Ke,Xue, Linfu,Ran, Xiangjin,et al. CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet[J],2023,13(6).
APA	Ding, Ke,Xue, Linfu,Ran, Xiangjin,Wang, Jianbang,&Yan, Qun.(2023).CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet.MINERALS,13(6).
MLA	Ding, Ke,et al."CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet".MINERALS 13.6(2023).