基于SREM融合数据的矿物蚀变信息提取

王桂珍; 张立福; 孙雪剑; 杨杭; 姜海玲; 童庆禧

doi:10.3799/dqkx.2015.114

基于SREM融合数据的矿物蚀变信息提取

doi: 10.3799/dqkx.2015.114

王桂珍^{1, 2,},
张立福^1, ,,
孙雪剑^{1, 2},
杨杭¹,
姜海玲³,
童庆禧¹

1.
中国科学院遥感与数字地球研究所, 北京 100101
2.
中国科学院大学, 北京 100049
3.
北京大学地球与空间科学学院, 北京 100871

基金项目:

高光谱图像融合算法及质量提升模式研究项目 41371362

全球巨型成矿带矿产资源与能源遥感专题产品生产体系项目 2013AA12A302

全球巨型成矿带重要矿产资源与能源遥感探测关键技术项目 2012AA12A308

国家高技术研究发展计划(863计划)项目 2008AA121100

国家高技术研究发展计划(863计划)项目 2012AA12A308

国家自然科学基金项目 41402293

详细信息

作者简介:
王桂珍(1990-), 女, 硕士研究生, 主要从事高光谱遥感研究.E-mail: wanggz@radi.ac.cn

通讯作者:
张立福, E-mail: zhanglf@radi.ac.cn

中图分类号: P627
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- 文章访问数: 3497
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- 被引次数: 0
出版历程
- 收稿日期: 2015-04-11
- 刊出日期: 2015-08-01

Mineral Alteration Information Extraction Based on SREM Fusion Data

Wang Guizhen^{1, 2
,},
Zhang Lifu^{1
, ,},
Sun Xuejian^{1, 2},
Yang Hang¹,
Jiang Hailing³,
Tong Qingxi¹

1.
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China
3.
College of Earth and Space Sciences, Peking University, Beijing 100871, China

摘要

- 多光谱图像光谱分辨率增强方法融合数据 /
- 蚀变信息提取 /
- 斑岩铜矿 /
- 混合调制匹配滤波 /
- 遥感
- SREM fusion data /
- alteration information extraction /
- porphyry copper /
- mixture tuned matched fliter /
- remote sensing

HTML全文

图 1 ASTER多光谱数据与Hyperion高光谱数据幅宽对比

Fig. 1. The different breadth of ASTER data and Hyperion data

下载: 全尺寸图片幻灯片

图 2 MF分值和不可信度值示意

据DiPietro et al.(2010)

Fig. 2. The schematic plot of MF and infeasibility

下载: 全尺寸图片幻灯片

图 3 丘基卡马塔地质图

据Ossandón et al.(2001)改编

Fig. 3. Geological sketch of Chuguicamata

下载: 全尺寸图片幻灯片

图 4 Hyperion和ASTER数据处理流程

Fig. 4. Data processing of Hyperion dada and ASTER data

下载: 全尺寸图片幻灯片

图 5 Hyperion(a)与SREM融合数据(b)矿物分布(重合区域)

Fig. 5. Alteration minerals distribution maps of Hyperion (a) and SREM fusion data (b)

下载: 全尺寸图片幻灯片

图 6 ASTER、Hyperion和SREM融合数据矿物光谱曲线对比

a.绢云母；b.伊利石；c.高岭石；d.绿泥石；e.黄钾铁矾

Fig. 6. The difference of minerals spectral curves between ASTER, Hyperion and SREM fusion data

下载: 全尺寸图片幻灯片

图 7 ASTER (a)与SREM融合数据蚀变矿物分布(b)

Fig. 7. Alteration minerals distribution of ASTER (a) and SREM fusion data (b)

下载: 全尺寸图片幻灯片

表 1 SREM融合数据和Hyperion光谱相似性

Table 1. Spectral similarity between SREM fusion data and Hyperion

矿物类型	绢云母	伊利石	高岭石	绿泥石	黄钾铁矾
SAM(度)	3.332 9	2.615 5	2.356 5	2.968 3	4.590 5
UIQI	0.979 9	0.989 4	0.983 8	0.985 9	0.974 9

下载: 导出CSV

表 2 Hyperion与SREM融合数据矿物精度分析

Table 2. The accuracy of minerals between Hyperion data and SREM fusion data

矿物类型	制图精度(%)	用户精度(%)
伊利石	70.52	71.77
绢云母	68.97	64.45
高岭石	95.17	92.13
绿泥石	96.21	99.86
黄钾铁矾	92.18	89.74
总体精度(%)	92.85	Kappa系数0.897 3

下载: 导出CSV

表 3 ASTER与SREM融合数据矿物精度分析

Table 3. The accuracy of minerals between ASTER data and SREM fusion data

矿物类型	制图精度(%)	用户精度(%)
Al-OH	95.10	90.08
Mg-OH	93.26	97.66
Fe³⁺	85.11	60.08
总体精度(%)	90.561 7	Kappa系数0.811 6

下载: 导出CSV

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