高光谱遥感大气辐射校正技术的研究

大气与环境光学学报 ›› 2018, Vol. 13 ›› Issue (1): 65-73.

高光谱遥感大气辐射校正技术的研究

边福强，范东栋，傅丹膺

（航天东方红卫星有限公司，北京 100094）

收稿日期:2016-10-26 修回日期:2017-10-30 出版日期:2018-01-28 发布日期:2018-02-06
通讯作者: 边福强（1991-），男，吉林通化，硕士，主要从事空间遥感器总体设计、大气光学遥感探测等方面的研究。 E-mail:bianfuqiang@buaa.edu.cn
作者简介:边福强（1991-），男，吉林通化，硕士，主要从事空间遥感器总体设计、大气光学遥感探测等方面的研究。
基金资助:
Supported by National Key R&D Plan(国家重点研发计划, 2016YFB0501300, 2016YFB0501301)

Atmospheric Radiation Correction Technique for Hyperspectral Remote Sensing

BIAN Fuqiang, FAN Dongdong, FU Danying

(DFH Satellite CO., LTD., Beijing 100094, China)

Received:2016-10-26 Revised:2017-10-30 Published:2018-01-28 Online:2018-02-06
Contact: 边福强（1991-），男，吉林通化，硕士，主要从事空间遥感器总体设计、大气光学遥感探测等方面的研究。 E-mail:bianfuqiang@buaa.edu.cn
About author:边福强（1991-），男，吉林通化，硕士，主要从事空间遥感器总体设计、大气光学遥感探测等方面的研究。
Supported by:
Supported by National Key R&D Plan(国家重点研发计划, 2016YFB0501300, 2016YFB0501301)

摘要/Abstract

摘要：

为满足高光谱遥感图像定量化解译的需求，针对现有大气校正方法面临的大气参数不同步问题，对基于大气参数空间同步获取的大气辐射校正技术进行了研究。首先总结了利用卫星搭载专用大气辐射校正载荷,同步提供大气校正参数与地表反射特性的方法，从根本上解决辐射传输模型中的大气参数难以同步获取的问题。其次结合国外在轨运行的高光谱遥感卫星的调研结果，在大气校正载荷的设计—尤其是谱段选择和优化方面对载荷系统的方案特点和技术指标进行了归纳。并选取EO-1 Hyperion高光谱遥感图像进行了大气校正，从校正前后图像的视觉效果、光谱特性、典型地物的分类识别效果三方面分析了大气校正对高光谱遥感定量化应用性能的提升。最后对大气辐射校正技术的发展前景进行展望。

关键词: 大气辐射校正, 高光谱定量遥感, Hyperion

Abstract:

In order to meet the quantitative application requirements of the hyperspectral remote sensing images, to solve the problem that the synchronous atmospheric parameters can not be achieved for the existed atmospheric correction methods, the atmospheric correctional technology based on the atmospheric parameter space synchronization acquisition was investigated. Firstly, the method of using remote sensing technology to apply synchronous parameters and the sampling of surface reflectance is summarized. Secondly, based on the research results of hyperspectral remote sensing satellite in orbit, the technical indexes and characteristics in the designation of atmospheric corrector especially about the wavebands studies are summarized. The atmospheric correction of hyperspectral images is accomplished from EO-1 Hyperion sensor, and the improvements of application performance are analyzed in the following aspects: imaging results, spectral characteristics, and classification effects of typical features. In the end, the development of atmospheric radiation correction technology is prospected.

Key words: atmospheric radiation correction, hyperspectral quantitative remote sensing, Hyperion

中图分类号:

边福强范东栋傅丹膺. 高光谱遥感大气辐射校正技术的研究[J]. 大气与环境光学学报, 2018, 13(1): 65-73.

BIAN Fu-Qiang, FAN Dong-Dong, FU Dan-Ying. Atmospheric Radiation Correction Technique for Hyperspectral Remote Sensing[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(1): 65-73.

参考文献

[1] Preview WorldView-3's new spatial and spectral capabilities [OL]. http://worldview3.digitalglobe.com.
[2] Satellite Imaging Corporation. WorldView-3 satellite sensor [OL]. http://www.satimagingcorp.com/satellite-sensors/worldview-3.html.
[3] Kaufman Y J, Tanré D. Algorithm for remote sensing of tropospheric aerosol from MODIS [R]. USA: NASA/Goddard Space Flight Center, 1998: 24-46.
[4] Hall D K, Riggs G A, Salomonson V V, et al. Algorithm theoretical basis document for the MODIS snow and sea ice-mapping algorithms [R]. USA: NASA/Goddard Space Flight Center, 2001: 13-15.
[5] Gao B C, Kaufman Y J. The MODIS Near-IR Water Vapor Algorithm [R]. USA: NASA/Goddard Space Flight Center, 2001: 22-26.
[6] Bowker D E, Davis R E, Myrick D L, et al. Spectral reflectances of natural targets for use in remote sensing studies [R]. USA: NASA Ref. Publ., 1139, 1985: 12-16.
[7] Chesters D C, Uccellini L W, Robinson W D. Low-level water vapor fields from the VISSR Atmospheric Sounder (VAS) "split-window" channels [J]. J. Clim. Appl. Meteor., 1983, 22(5): 725-743.
[8] Fraser R S, Ferrare R A, Kaufman Y J, et al. Algorithm for atmospheric corrections of aircraft and satellite imagery [J]. Int. J. Remote Sens., 1992, 13(3): 541-557.
[9] Yang Lei, Pan Zhiqiang, FuQiaoyan. Research on the atmospheric correction for ZY-3 MUX image [J]. Spectroscopy and Spectral Analysis, 2013, 33(7): 1903-1907(in Chinese).
杨磊, 潘志强, 傅俏燕, 等. 资源三号卫星多光谱数据的大气校正研究 [J]. 光谱学与光谱分析, 2013, 33(7): 1903-1907.
[10] Tan Bingxiang, Li Zengyuan, Chen Erxue, et al. Pretreatment of hyperion EO-1 hyperspectral image [J]. Remote Sensing Information, 2005(6): 36-41(in Chinese).
谭炳香, 李增元, 陈尔学, 等. EO-1 Hyperion高光谱数据的预处理 [J]. 遥感信息, 2005(6): 36-41.
[11] Zhang Yuchen, Zhang Tingbin, Yi Guihua, et al. Atmospheric correction and evaluation of FLAASH model based on hyper spectral data [J]. Geomatics & Spatial Information Technology, 2015(10): 38-40, 44(in Chinese).
张雨晨, 张廷斌, 易桂花, 等. 高光谱遥感影像的 FLAASH 模块大气校正与评价 [J]. 测绘与空间地理信息, 2015(10): 38-40, 44.
[12] Liu Xiaoli, Wang Qijie, Zhang Yong, et al. Analysis of regional aerosol in atmospheric radiation correction [J]. Science of Surveying and Mapping, 2016, 41(4): 55-60, 82(in Chinese).
刘小力, 王琪洁, 张勇, 等. 气溶胶大气辐射校正区域性分析 [J]. 测绘科学, 2016, 41(4): 55-60, 82.
[13] Xie Donghai, Cheng Tianhai, Wuyu, et al. Atmospheric correction for HJ-1 CCD data coupling with aerosol models of Beijing-Tianjin-Hebei region [J]. Spectroscopy and Spectral Analysis, 2016, 36(5): 1284-1290(in Chinese).
谢东海, 程天海, 吴俣, 等. 耦合京津冀气溶胶模式的HJ-1卫星CCD数据大气校正 [J]. 光谱学与光谱分析, 2016, 36(5): 1284-12.