高光谱遥感技术及资源勘查应用进展

李志忠; 汪大明; 刘德长; 刘银年; 赵慧洁; 党福星

doi:10.3799/dqkx.2015.108

高光谱遥感技术及资源勘查应用进展

doi: 10.3799/dqkx.2015.108

1.
中国地质调查局油气资源调查中心, 北京 100029
2.
核工业北京地质研究院, 北京 100029
3.
中国科学院上海技术物理研究所, 上海 200083
4.
北京航空航天大学仪器科学与光电工程学院, 北京 100191
5.
中国国土资源航空物探遥感中心, 北京 100083

基金项目:

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:
李志忠(1963-), 男, 研究员, 主要从事遥感地质研究

通讯作者:
汪大明, E-mail: daming82@qq.com

中图分类号: P627
计量
- 文章访问数: 3366
- HTML全文浏览量: 163
- PDF下载量: 335
- 被引次数: 0
出版历程
- 收稿日期: 2015-05-02
- 刊出日期: 2015-08-01

Hyperspectral Remote Sensing Technology and Its Progress in Resources Exploration

1.
Oil & Gas Survey, China Geological Survey, Beijing 100029, China
2.
CNNC Beijing Research Institute of Uranium Geology, Beijing 100029, China
3.
Shanghai Institute of Technical Physics, CAS, Shanghai 200083, China
4.
School of Instrument Science and Opte-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
5.
China Aero Geophysical Survey and Remote Sensing Center of Land and Resources, Beijing 100083, China

摘要

摘要: 高光谱遥感技术在可见光、近红外、中红外和远红外波段范围内可获取上百个窄光谱波段, 包含了丰富的空间、辐射和光谱3重信息.极高的光谱分辨率特性可以定性、定量探测在多光谱、宽波段遥感中不能被识别的物质.介绍了当前宽幅高光谱成像仪载荷研制最新进展以及星载高光谱成像数据模拟、定标与处理技术进展, 并在矿产资源和油气资源调查方面进行典型应用.高光谱遥感技术在资源勘查中的应用积累、技术研究以及全流程业务化信息系统平台开发对高光谱数据在资源能源勘查中的推广有重要意义.
- 成像仪载荷 /
- 高光谱数据处理 /
- 波谱服务 /
- 遥感 /
- 资源勘查应用
Abstract: Hyperspectral remote sensing technology obtains hundreds of narrow spectral bands in the visible, near-infrared, mid-infrared and far-infrared bands and contains a wealth of space, radiation and spectral information. Much materials can be identified that are not recognized in multispectral data. The recent advances in broad width hyperspectral imager, space-borne hyperspectral data digital simulation, calibration and processing and typical applications in the investigation of mineral and oil-gas resources are introduced in the paper. In additon, the information system of hyperspectral data acquisition, storage, management, typical geological application and distribution is established, which shall be of great significance to the application of hyperspectral remote sensing data to the investigation of mineral and energy resources.
- hyperspectral imager /
- hyperspectral data processing /
- spectral service /
- remote sensing /
- application in resources investigation

HTML全文

图 1 宽幅高光谱成像仪

a.VNIR成像仪；b.SWIR成像仪

Fig. 1. Broad width hyperspectral imager

下载: 全尺寸图片幻灯片

图 2 高光谱成像仪结构

a.OASIS离轴全球面棱镜分光系统；b.PGP光谱仪原理结构；c.迈克耳逊干涉仪

Fig. 2. Hyperspectral imager physical design

下载: 全尺寸图片幻灯片

图 3 高光谱成像仪集成

Fig. 3. Hyperspectral imager integration

下载: 全尺寸图片幻灯片

图 4 标准化预处理流程示意

Fig. 4. Flow chart of standardization image preprocessing

下载: 全尺寸图片幻灯片

图 5 高光谱典型矿物填图结果

a.蛇纹石填图结果；b.白云母填图结果；c.绿帘石填图结果

Fig. 5. Result of hyperspectral mineral mapping

下载: 全尺寸图片幻灯片

图 6 高光谱数据油气异常区的综合圈定

Fig. 6. Comprehensive oil and gas anomaly area

下载: 全尺寸图片幻灯片

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