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马达加斯加索菲亚省BINARA地区铬铁矿遥感找矿预测

许文文 成功 鲁裕民 周炜鉴 孙卫宾

地质找矿论丛2018,Vol.33Issue(1):108-114,7.
地质找矿论丛2018,Vol.33Issue(1):108-114,7.DOI:10.6053/j.issn.1001-1412.2018.01.014

马达加斯加索菲亚省BINARA地区铬铁矿遥感找矿预测

Remote sensing prospecting prediction about chromite in BINARA area of Sophia province, Madagascar

许文文 1成功 2鲁裕民 1周炜鉴 3孙卫宾4

作者信息

  • 1. 中南大学地球科学与信息物理学院,长沙410083
  • 2. 中国能源建设集团安徽省电力设计院有限公司,合肥230601
  • 3. 有色金属成矿预测与地质环境监测教育部重点实验室,长沙410083
  • 4. 贵州锦丰矿业有限公司,贵州贞丰562204
  • 折叠

摘要

Abstract

The extraction of mineralization and alteration information by remote sensing technology has obvious advantages and better effect in the northern area of Madagascar where is rich in mineral resources but sparsely inhabited,inconvenient traffic and sparsely vegetated.In this paper,the information of mafic-ultramafic rocks was extracted by principal component analysis method from band 2,4,5,6 of Landsat 8 date.Then,the quantitative inversion model of Fe concentration was established by using partial least squares regression method based on hyperspectral date measured in the laboratory.The model was used to calculate Hyperion date,and the anomalous information of Fe concentration was extracted in the study area.Finally,according to the integrated anomalous information and results of field investigation,we determine the distribution area of mafic-ultramafic rocks is the prediction areas of which the area with higher Fe concentration is the key prediction area.

关键词

铬铁矿/高光谱遥感数据/主成分分析(PCA)/偏最小二乘回归(PLSR)/定量反演/马达加斯加

Key words

chromite/hyperspectral remote sensing data/principal component analysis (PCA)/partial least squared regression (PLSR)/quantitative inversion/Madagascar

分类

天文与地球科学

引用本文复制引用

许文文,成功,鲁裕民,周炜鉴,孙卫宾..马达加斯加索菲亚省BINARA地区铬铁矿遥感找矿预测[J].地质找矿论丛,2018,33(1):108-114,7.

地质找矿论丛

OACSCDCSTPCD

1001-1412

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