基于WorldView-Ⅱ与Aster数据的Fe信息提取——以南极拉斯曼丘陵为例

魏学娟; 徐刚

基于WorldView-Ⅱ与Aster数据的Fe信息提取——以南极拉斯曼丘陵为例

魏学娟,
徐刚^,

中国地质科学院地质力学研究所, 北京 100081

基金项目:

南极环境综合分析与评估项目 CHINARE04-02

南极环境综合分析与评估项目 CHINARE2014-04-02

南极环境综合分析与评估项目 CHINARE2015-04-02

详细信息

作者简介:
魏学娟(1990-), 硕士研究生, 研究方向遥感地质。E-mail:331674312@qq.com

通讯作者:
徐刚(1966-), 研究员, 研究方向遥感地质。E-mail:xuganglxs@126.com

中图分类号: P627
计量
- 文章访问数: 154
- HTML全文浏览量: 88
- PDF下载量: 12
- 被引次数: 0
出版历程
- 收稿日期: 2015-06-06
- 刊出日期: 2015-04-01

IRON INFORMATION EXTRACTION IN LARSEMANN HILLS OF ANTARCTIC BASED ON WORLDVIEW-Ⅱ AND ASTER DATA

WEI Xue-juan,
XU Gang^,

Institute of Geomechanics, Chinese Academy of Geological Science, Beijing 100081, China

摘要

摘要: 利用WorldView-Ⅱ遥感影像高空间分辨率和高波谱分辨率的数据优点, 结合Aster数据波段互补的优势, 进行南极大陆边缘拉斯曼丘陵Fe信息提取研究。研究结果表明, 使用WorldView-Ⅱ与Aster数据对比分析的主成分法, 提取Fe³⁺信息, 采用WorldView-Ⅱ与Aster协同数据下的波段运算法, 提取Fe²⁺信息, 可以达到优势互补的目的。Fe信息提取结果显示, 含铁矿物信息分布区主要集中在混合片麻岩与副片麻岩区域, 分别占Fe信息总面积的80.39%和15.73%, 与野外调查结果基本一致。
- 多源遥感数据 /
- 主成分 /
- 比值法 /
- Fe信息提取
Abstract: Combined with the Aster data of complementary bands, we studied the iron extraction information in Larsemann Hills at Antarctic continental margin using the WorldView-Ⅱ remote sensing images with high spatial and spectral resolution. The results show that it could achieve the complementary advantages when ferric iron information is extracted by using the principal components analysis with comparison of the WorldView-Ⅱ and Aster data and ferrous ion information is extracted by using band calculations of the WorldView-Ⅱ and Aster synergetic data. The iron information extraction results show that the iron-bearing minerals mainly existed in mixed gneiss and paragneiss area, accounting for 79.44% and 17.44% of the total area, which is consistent with the field survey results.
- multi-source remote sensing /
- principal component analysis /
- ratio method /
- iron information extraction

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图 1 研究区地理位置及地质简图

Figure 1. Position and geological map of the study area

下载: 全尺寸图片幻灯片

图 2 野外含磁铁矿的岩系图

Figure 2. Field map of containing magnetite rock

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图 3 典型含铁矿物波谱与WorldView-Ⅱ、Aster波谱通道对应关系图

Figure 3. Corresponding relations between the spectra of typical iron-bearing minerals and bands of WorldView-Ⅱ and Aster

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图 4 基于WorldView-Ⅱ与Aster数据的Fe³⁺信息提取结果

Figure 4. Information extraction of ferric iron based on WorldView-Ⅱ and Aster data

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图 5 WorldView-Ⅱ，Aster和协同数据波谱范围图

Figure 5. Spectrum map of WorldView-Ⅱ, Aster and synergetic data

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图 6 Fe信息提取结果图

Figure 6. Extraction map of iron information

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图 7 Fe信息分布图

Figure 7. Distribution image of iron information

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图 8 Fe信息提取结果统计

Figure 8. Statistical result of iron information

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表 1 WorldView-Ⅱ与Aster数据影像特征

Table 1. The data features of WorldView-Ⅱ and Aster

WorldView-Ⅱ数据 Aster数据(仅前9波段)
波段编号	波谱范围/nm	空间分辨率/m	波段编号	波谱范围/nm	空间分辨率/m
1	400~450	1.8
2	450~510
3	510~580		1	520~600	15
4	585~625		1	520~600
5	630~690		2	630~690
6	705.5~745		3	760~860
7	770~895		3	760~860
8	860~1040
			4	1600~1700	30
			5	2145~2185
			6	2185~2225
			7	2235~2285
			8	2295~2365
			9	2360~2430

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表 2 铁染异常主成分分析向量矩阵表(Aster)

Table 2. Eigenvector matrix of PC4

Eigenvector	Band1	Band2	Band3	Band4
Band1	0.469764	0.566440	0.566168	0.371378
Band2	0.429949	0.211999	0.006812	-0.877584
Band3	0.685047	-0.114460	-0.652577	0.302906
Band4	-0.353802	0.788100	-0.503538	0.013138

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表 3 铁染异常主成分分析向量矩阵表(WorldView-Ⅱ)

Table 3. Eigenvector matrix of PC3

Eigenvector	Band1	Band2	Band3	Band4
Band1	0.202933	0.523631	0.588460	0.581674
Band4	0.911723	0.175104	-0.123917	-0.350349
Band6	0.316545	-0.485857	-0.386010	0.717453
Band8	-0.165465	0.677564	-0.699540	0.155476

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表 4 WorldView-Ⅱ与Aster数据提取的Fe³⁺面积统计

Table 4. Ferric iron area statistics using WorldView-Ⅱ and Aster data

异常级别	Fe³⁺面积/m²
异常级别	WorldView-Ⅱ	Aster
一级	499736.23	391950.00
二级	585676.42	504000.00
三级	441789.55	555300.01

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