国内外星-空-地遥感数据地面应用系统综述

肖政浩; 汪大明; 温静; 方洪宾; 胡玉新; 许宁

国内外星-空-地遥感数据地面应用系统综述

1.
中国国土资源航空物探遥感中心, 北京 100083
2.
中国地质调查局油气资源调查中心, 北京 100029
3.
中国科学院电子学研究所, 北京 100190

基金项目:

中国地质调查局地质调查项目"地质勘查遥感系统集成与综合应用示范" 1212011120226

详细信息

作者简介:
肖政浩(1988-), 男, 河北承德人, 助理工程师, 主要从事遥感地质研究。E-mail:xiaozhenghao010@sina.com

中图分类号: TP79
计量
- 文章访问数: 212
- HTML全文浏览量: 675
- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-10
- 刊出日期: 2015-06-01

OVERVIEW OF THE GROUND APPLICATION SYSTEM OF SATELLITE-AVIATION-GROUND REMOTE SENSING DATA AT HOME AND ABROAD

1.
China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
2.
Oil & Gas Survey, CGS, Beijing 100029, China
3.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

摘要

摘要: 遥感地面系统主要实现遥感数据的接收、处理、管理和分发功能。为了研发面向地质调查的、能够处理多源海量高光谱数据的、星-空-地一体化地质勘查遥感系统, 对国内外已有的小卫星、航空、地面岩芯等遥感地面系统的特点、组成和发展方向进行了调研和分析, 调研结果可为地质勘查遥感系统的研发提供技术基础和理论支持。
- 地面应用系统 /
- 星-空-地一体化 /
- 多源高光谱数据
Abstract: Ground remote sensing system is mainly used for receiving, processing, managing and distributing, for developing a further satellite-aviation-ground system which can be applied to geological exploration and processing mass hyperspectral remote sensing data, this article summarized and analyzed characteristics, components and development direction of ground remote sensing system at home and abroad, such as satellite system, aviation system and ground core system. This overview offered technical basic and theoretical support for developing remote sensing system for geological exploration.
- ground application system /
- satellite-aviation-ground system /
- multi-resource hyperspectral data

HTML全文

图 1 MightySatⅡ.1/FTHSI系统结构

Figure 1. The figure of MightySatⅡ.1/FTHSI system structure

下载: 全尺寸图片幻灯片

图 2 EO-1卫星飞行轨道及成像覆盖图示

Figure 2. The flight track and cover area of EO-1

下载: 全尺寸图片幻灯片

图 3 EO-1地面应用系统组成

Figure 3. The ground application system structure of EO-1

下载: 全尺寸图片幻灯片

图 4 EnMAP卫星结构

Figure 4. The structure of EnMAP

下载: 全尺寸图片幻灯片

图 5 EnMAP卫星地面处理系统图示

Figure 5. The ground processing system of EnMAP

下载: 全尺寸图片幻灯片

图 6 基于IDL开发的EnMAP高光谱数据应用软件

Figure 6. The application software of EnMap hyperspectral data based on IDL

下载: 全尺寸图片幻灯片

图 7 HJ-1A星地面处理系统结构

Figure 7. The ground processing system structure of HJ-1A

下载: 全尺寸图片幻灯片

图 8 国土资源高光谱卫星地面应用系统总体框架

Figure 8. The overall framework for ground application system of land resource hyperspectral satellite

下载: 全尺寸图片幻灯片

图 9 国土资源高光谱卫星地面应用系统分层

Figure 9. The layered construction for ground application system of land resource hyperspectral satellite

下载: 全尺寸图片幻灯片

表 1 FTHSI设计性能与在轨性能对比

Table 1. The designed performance of FTHSI and in-orbit performance comparison

指标	设计值	在轨值
光谱范围/nm	500~1050	475~1050
光谱分辨率/cm^-1	97	84.4
准确度/cm^-1	0.5	0.1
有用波段数	146	146
总视场/(°)	3	3
刈幅宽度/km	6.5~26.0	7.5~30.0
瞬时视场/(°)	0.0058/0.0029 (约100 μrad/50 μrad)	0.0058/0.0029 (约100 μrad/50 μrad)
沿轨成像条带长度/km	10.00~20.25	10.0~15.3
地面采样间隔/m	30	30
空间覆盖方式	推帚扫描	推帚扫描
载荷重量/kg	33	20.45
体积/cm³	0.17	0.17
辐射定标精度(RMS)/%	20	10~15
寿命/d	90	＞700

下载: 导出CSV

表 2 CHRIS影像的数据特征

Table 2. The data feature of CHRIS images

光谱范围/ nm	标准影像大小/ km*km	成像模式/ 种	影像数据量/ Mbit	影像存储格式	波段数量/ 个	光谱分辨率/ nm	信噪比
400~1050	13*13	5	131	BSQ	18~62根据成像模式不同	5~12根据成像模式不同	200

下载: 导出CSV

参考文献(7)

[1]	Galeazzi C, Carpentiero R, V. De Cosmo. The Prisma System and Pan/Hyp Instrument.
[2]	Storch T, Amaia de Miguel, Palubinskas G, et al. Processing chain for the future hyperspectral mission EnMAP[C]//Conference Papers of the 6^th EARSeL SIG-IS Workshop Imaging Spectroscopy. Israel: Tel Aviv, 2009.
[3]	Dario Cabib, Moshe Lavi, Amir Gil. Long wave infrared (8 to 12 microns) hyperspectral imager based on an uncooled thermal camera and the traditional CI block interferometer[C]//Conference Papers of the 7^th EARSeL SIG-IS Workshop Imaging Spectroscopy. Edinburgh: SPIE, 2011.
[4]	Laruent Rousset-Rouviere. SYSIPHE, airborne hyperspectral imager system[C]//Conference Papers of the 7^th EARSeL SIG-IS Workshop Imaging Spectroscopy. Edinburgh: SPIE, 2011.
[5]	Glavich T, Green R O, Hook S J, et al. Decadal survey symposium HyspIRI decadal survey Mission development status. February 11-12, 2009. NASA Headquarters.
[6]	Tappert M, Rivard B, Giles D, et al. Automated drill core logging using visible and near-infrared reflectance spectroscopy: A case study from the Olympic Dam IOCG Deposit, South Australia[J]. Economic Geology, 2011, 106: 289~296. doi: 10.2113/econgeo.106.2.289
[7]	Roache T, et al. Microscopic remote sensing as a scale-integrated tool in mineral exploration. GRSG-OGEO Workshop-7-9th December 2011; Frascati, Italy.