基于特征导向主成分分析遥感蚀变异常提取方法

谢明辉; 张奇; 陈圣波; 李艳秋; 查逢丽

doi:10.3799/dqkx.2015.121

基于特征导向主成分分析遥感蚀变异常提取方法

doi: 10.3799/dqkx.2015.121

谢明辉^{1, 2,},
张奇²,
陈圣波¹,
李艳秋¹,
查逢丽¹

1.
吉林大学地球探测科学与技术学院, 吉林长春 130026
2.
吉林建筑大学管理学院, 吉林长春 130118

基金项目:

国家高技术研究发展计划(863计划)项目 2012AA12A308

国家高技术研究发展计划(863计划)项目 2008AA121100

深部探测关键仪器装备野外实验与示范项目 201011083 SinoProbe09-06

国家自然科学基金项目 41402293

详细信息

作者简介:
谢明辉(1974-), 男, 博士研究生, 主要从事遥感技术研究.E-mail: JIjyan@163.com

中图分类号: P627
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- 被引次数: 0
出版历程
- 收稿日期: 2015-03-20
- 刊出日期: 2015-08-01

Extraction of Alteration Anomaly Information by Feature-Based Principal Component Analysis from ASTER Data

1.
College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China
2.
School of Management, Jilin Jianzhu University, Changchun 130118, China

摘要

摘要: 为利用多光谱遥感数据提取蚀变异常信息, 在分析蚀变矿物的先进星载热发射和反射辐射仪(advanced spaceborne thermal emission and reflection radiometer, ASTER)和影像短波近红外(visible and near IR-short wave-length IR, VNIR-SWIR)谱带的特征光谱曲线的基础上, 对传统的主成分分析法进行了改进, 利用特征导向主成分分析法对辽宁兴城地区进行矿物蚀变信息提取, 成功的对该地区内的褐铁矿(Fe³⁺)、绿泥石(Mg-OH基团矿物)和高岭石(Al-OH基团矿物)进行了蚀变异常信息提取.通过实践验证和研究区地质资料表明, 特征导向主成分分析法能够有效地提取蚀变信息并识别研究区内主要矿物, 可以为该区的成矿预测工作提供一定的依据.
- 先进星载热发射和反射辐射仪 /
- Crosta分析 /
- 蚀变异常 /
- 遥感 /
- 兴城地区
Abstract: In order to extract the alteration anomaly information with multi-spectral remote sensing data, this paper improves the traditional principal component analysis is improved and the mineral alteration information of Xingcheng region of Liaoning using the method of the feature oriented principal component analysis is extracted, successfully for the alteration anomaly of the limonite (Fe³⁺), chlorite (Mg-OH group minerals) and kaolinite (Al-OH group minerals) based on the analysis of the characteristic curve of canopy spectral in VNIR-SWIR (visible and near IR-short wave-length IR) band of ASTER (advanced spaceborne thermal emission and reflection radiometer) data about alteration mineral.Field practice and geological data of research area indicate that the method above can effectively extract the alteration information and identify the mainly mineral of research area, which can provide a certain basis for the metallogenic prediction.
- ASTER /
- Crosta analysis /
- alteration anomaly /
- remote sensing /
- Xingcheng area

HTML全文

图 1 研究区区域地质图

1.石盒子组；2.红砬组；3.义县组；4.变质表壳岩；5.海房沟组；6.大红峪组；7.砂砾岩；8.土城子组

Fig. 1. Regional geological sketch of the study area

下载: 全尺寸图片幻灯片

图 2 研究区各蚀变矿物标准波谱特征曲线示意

波谱库来源于USGS；图中方框的意义表示的是每个波段的波长范围

Fig. 2. Curves of standard spectral characteristics of each alteration minerals in the study area

下载: 全尺寸图片幻灯片

图 3 研究区蚀变矿物异常信息分布及其验证

a.Mg-OH基团蚀变异常信息分布；b.Al-OH基团蚀变异常信息分布；c.三价铁蚀变异常信息分布

Fig. 3. Anomaly distribution images of alteration minerals of the study area

下载: 全尺寸图片幻灯片

表 1 Mg-OH基团信息提取的主成分特征向量矩阵

Table 1. Eigenvalue matrix of the PCA for extraction of Mg-OH group information

主成分	ASTER2	ASTER5	ASTER8	ASTER9
PC1	-0.132 692	0.050 713	0.030 612	0.024 256
PC2	-0.796 479	0.159 458	0.035 955	0.038 493
PC3	0.093 727	0.790 366	-0.329 421	-0.506 628
PC4	0.021 811	0.652 560	-0.750 309	0.103 284

下载: 导出CSV

表 2 Al-OH基团信息提取的主成分特征向量矩阵

Table 2. Eigenvalue matrix of the PCA for extraction of Al-OH group information

主成分	ASTER1	ASTER4	ASTER6	ASTER7
PC1	-0.504 827	-0.490 005	-0.507 766	-0.497 210
PC2	-0.855 414	0.393 318	0.253 753	0.221 760
PC3	0.115 823	0.767 756	-0.330 855	-0.536 349
PC4	0.001 260	0.125 483	-0.753 869	0.644 929

下载: 导出CSV

表 3 Fe³⁺信息提取的主成分特征向量矩阵

Table 3. Eigenvalue matrix of the PCA for extraction of Fe³⁺ group information

主成分	ASTER1	ASTER2	ASTER3	ASTER4
PC1	-0.525 319	-0.592 313	-0.407 143	-0.455 456
PC2	-0.575 272	-0.194 051	0.758 061	0.238 225
PC3	-0.194 113	-0.167 755	-0.457 760	0.851 254
PC4	-0.596 173	0.763 785	-0.223 683	-0.105 713

下载: 导出CSV

参考文献(14)

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