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基于遥感融合数据的风化壳型铝土矿矿化异常提取研究—以柬埔寨森莫诺隆地区为例

沈杜衡 刘严松 刘琦 赖思翰 何星慧 Mayada Jamal 何博宇 沈茜

物探化探计算技术2024,Vol.46Issue(4):481-489,9.
物探化探计算技术2024,Vol.46Issue(4):481-489,9.DOI:10.3969/j.issn.1001-1749.2024.04.13

基于遥感融合数据的风化壳型铝土矿矿化异常提取研究—以柬埔寨森莫诺隆地区为例

A research on extracting mineralization anomalies of weathering crust bauxite based on remote sensing fusion data:taking the Sammonolong area of Cambodia as an example

沈杜衡 1刘严松 2刘琦 1赖思翰 2何星慧 2Mayada Jamal 1何博宇 3沈茜4

作者信息

  • 1. 成都理工大学 自然资源部构造成矿成藏重点实验室,成都 610059
  • 2. 成都理工大学 自然资源部构造成矿成藏重点实验室,成都 610059||成都理工大学 地球勘探与信息技术教育部重点实验室,成都 610059
  • 3. 成都理工大学 地球勘探与信息技术教育部重点实验室,成都 610059
  • 4. 四川三合空间科技有限公司,成都 610094
  • 折叠

摘要

Abstract

Aluminum has a wide range of industrial uses.Bauxite is an essential strategic resource in the background of globalization and plays a crucial role in the development of our national economy.Because the distribution of weathering crust bauxite is closely related to topography,lithology,and geological structure,remote sensing technology is being applied more and more widely in its exploration.How to synthesize the advantages of all kinds of remote sensing data to extract ore-con-trolling factors and alteration information has also become the focus of weathering crust type bauxite exploration work.Based on the analysis of geological characteristics and ore-controlling factors of weathered bauxite,this paper selected the Semonol-ong area of south-eastern Cambodia as the research area and selected the OHS hyperspectral data of"Zhuhai No.1"and Landsat-8 multispectral data for preprocessing and data fusion.The Principal Component Analysis method was used to ex-tract the abnormal information of bauxite mineralization in the study area,analyze the spectral characteristics of the abnormal information of bauxite and its prospecting indication significance,screen the abnormal information of bauxite mineralization,and carry out hierarchical display.Results show:① Using high spectral and multi-spectral remote sensing data fusion can ac-cording to the characteristics of ore-controlling factors and metallogenic material type and space characteristics related to ab-normal information extraction,fusion data not only make up for the selected band limited range of hyperspectral data but also retain the advantages of high spatial resolution and high spectral resolution;② The remote sensing anomaly information extrac-ted based on the fusion of hyperspectral and multispectral data is highly correlated with the spatial distribution characteristics of the basalt and its weathering,topography and geomorphology in the area;The abnormal distribution range of bauxite minerali-zation is mainly concentrated in the open-cut and adjacent areas of the bauxite mine.③ Comprehensive anomaly and the known ore(bed)coincidence degree is higher,and weathering crust type bauxite main ore-controlling factors such as litholo-gy,and topography of spatial correlation is strong.The results of this study is suitable for prospecting the screening of poten-tial target zone and the synthesis anomaly area,the early exploration of foreign same-type bauxite,and rapid optimization tar-gets with technical support.

关键词

主成分分析/铝土矿/蚀变异常/数据融合/高光谱数据

Key words

principal component analysis/bauxite/alteration anomalies/data fusion/hyperspectral data

分类

天文与地球科学

引用本文复制引用

沈杜衡,刘严松,刘琦,赖思翰,何星慧,Mayada Jamal,何博宇,沈茜..基于遥感融合数据的风化壳型铝土矿矿化异常提取研究—以柬埔寨森莫诺隆地区为例[J].物探化探计算技术,2024,46(4):481-489,9.

基金项目

四川省自然资源厅基金(KJ2016-16) (KJ2016-16)

中国石油碳酸盐岩储层重点实验室开放基金(2022JS2383) (2022JS2383)

四川省教育厅基金(18ZB0065) (18ZB0065)

国家自然科学基金(41402159) (41402159)

中国地质调查局地调项目(DD20221697) (DD20221697)

物探化探计算技术

OACSTPCD

1001-1749

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