遥感蚀变信息提取研究综述

王生礼; 李志军

doi:10.13686/j.cnki.dzyzy.2023.04.010

遥感蚀变信息提取研究综述

王生礼,
李志军^,

成都理工大学地球科学学院, 四川成都 610059

基金项目:
国家自然基金面上项目"西藏狮泉河中生代增生杂岩地质记录：对班公湖-怒江特提斯洋西段演化的结束"（42172118）

详细信息

作者简介: 王生礼(1997—), 男, 硕士研究生, 资源环境遥感研究方向, 通信地址四川省成都市成华区东三路1号, E-mail//1178812870@qq.com

通讯作者: 李志军(1974—), 男, 副教授, 从事遥感地质学教学与研究, 通信地址四川省成都市成华区东三路1号, E-mail//lizhijun@cdut.edu.cn

中图分类号: P627;TP75

收稿日期: 2022-03-30

修回日期: 2022-05-09

刊出日期: 2023-08-25

A REVIEW OF REMOTE SENSING ALTERATION INFORMATION EXTRACTION TECHNIQUES

WANG Sheng-li,
LI Zhi-jun^,

College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China

More Information

Corresponding author: LI Zhi-jun, lizhijun@cdut.edu.cn

Received Date: 30 March 2022

Revised Date: 09 May 2022

Publish Date: 25 August 2023

摘要

摘要:
矿物蚀变信息是地质找矿的重要依据和手段，利用遥感数据提取蚀变信息是遥感应用领域研究的热点.通过对近年来蚀变信息提取涉及的遥感数据、矿物类别、常用方法等进行梳理，对比分析不同遥感蚀变信息提取方法的效果，总结了遥感蚀变信息提取的发展方向.结果表明，遥感数据朝着高空间分辨率发展，蚀变信息的地面精度随之提高；光谱分辨率的提高使得可提取矿物越来越多；数学方法和人工智能的发展提升了蚀变信息提取方法的应用空间.
- 蚀变信息 /
- 遥感数据 /
- 方法模型 /
- 地质勘察 /
- 人工智能
Abstract:
The use of remote sensing data to extract mineral alteration information, which serves as important basis and means for geological prospecting, is a research focus in the field of remote sensing application. By studying the remote sensing data, mineral types and common methods involved in alteration information extraction in recent years, the paper makes a comparison analysis of the effects of different remote sensing methods to extract alteration information, and summarizes its development trends. The results show that the ground accuracy of alteration information is improving accordingly with the development of remote sensing data towards high spatial resolution. More and more minerals can be extracted due to the improvement of spectral resolution. The development of mathematical methods and artificial intelligence has improved the application space of alteration information extraction.
- alteration information /
- remote sensing data /
- method model /
- geological exploration /
- artificial intelligence

HTML全文

图 1 不同数据源各波段空间分辨率、光谱分辨率比较（据NASA官网）

Figure 1.

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图 2 典型铁染矿物光谱曲线图

Figure 2.

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图 3 典型羟基蚀变矿物光谱曲线

Figure 3.

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表 1 离子光谱吸收位置及代表矿物

Table 1. Ion spectra absorption positions and representative minerals

离子	吸收峰位置/μm	代表矿物
Fe²⁺	0.43，0.45，0.51，0.55，1.0~1.1，1.8~1.9	菱铁矿、黄铁矿
Fe³⁺	0.4，0.45，0.49，0.52，0.7，0.87	赤铁矿、褐铁矿
Cu²⁺	0.80	蓝铜矿、孔雀石
Mn²⁺	0.34，0.37，0.41，0.55	菱锰矿、水锰矿
OH^-	1.4，2.2（Al–OH）；2.30（Mg–OH）	绿泥石、蒙脱石、白云母、绿帘石
CO₃^2-	1.9，2.0，2.16，2.35，2.55	方解石、菱铁矿、白云石
H₂O	主要在1.4和1.9	石英、石膏、蒙脱石

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