Please wait a minute...
img

官方微信

遥感技术与应用  1998, Vol. 13 Issue (1): 50-54    DOI: 10.11873/j.issn.1004-0323.1998.1.50
遥感应用     
光学遥感大气订正总体思路与最新进展
牛 铮
(中国科学院遥感应用研究所 北京 100101)
Basic Idea and New Advance in Atmospheric Correction for Optical Remote Sensing
NIU Zheng
(Institute of Remote Sensing Applications,The Chinese Academy of Sciences,Beijing 100101)
 全文: PDF 
摘要:

指出光学遥感大气订正是定量遥感亟待解决的问题之一,其订正结果直接取决于大气粒子模式、地表特性假设和大气传输理论的采用及其精度。对多种影响要素进行了全面、详尽的分析和总结,阐述了相关研究的发展历史和现状,介绍了新近提出的直接订正和间接订正法。指出现有大气订正理论方法与实用化阶段还有一定距离,有待进一步发展和完善。最后给出光学遥感大气订正的总体构想。

关键词: 光学遥感大气订正定量遥感    
Abstract:

It is indicated that atmospheric correction for optical remote sensing is one of the problems to be solved in urgent need for quantitative remote sensing.The correction results depend on which we employ and their accuracy,such as the model of atmospheric particles,the hypothesis of surface properties,as well as the theory of radiance transfer.Scientists have to balance between a complicated theory and an accurate result.Then,an analysis and summary to those effective factors is submitted comprehensively and in detail.The developing history and the current status of the related researches are described,as well as the direct and indirect correction methods are introduced.It is also reminded that the theory and method of atmospheric correction need a further advance and complement considering their defects in practice.Finally,we conclude a strategy for the atmospheric correction.

Key words: Optical remote sensing    Atmospheric correction    Effective factor
收稿日期: 1997-06-04 出版日期: 2012-02-06
:  TP75/P427.1  
作者简介: 牛铮,男,1965年10月出生,博士,助理研究员,从事植被遥感、遥感成像机理等方面的研究。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

牛 铮. 光学遥感大气订正总体思路与最新进展[J]. 遥感技术与应用, 1998, 13(1): 50-54.

NIU Zheng. Basic Idea and New Advance in Atmospheric Correction for Optical Remote Sensing. Remote Sensing Technology and Application, 1998, 13(1): 50-54.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.1998.1.50        http://www.rsta.ac.cn/CN/Y1998/V13/I1/50

1 Ishimaru A.随机介质中波的传播和散射.黄润恒等译.北京:科学出版社,1986.
2 Fraser R S,Ferrare R A, Kaufman Y J, et al.Algorithm for Atmospheric Corrections of Aircraft and Satellite Imagery.Int J Remote Sens, 1992,13:541~557.
3 Van Stokkom H T C, Guzzi R. Atmospheric Spectral Attenuation of Airborne Remote Sensing Data:Comparison between Experimental Approach.Int J Remote Sens,1984,5:925~938.
4 Tanre D,Holben B N,Kufman Y J.Atmospheric Correction Algorithm for NOAA-AVHRR Products,Theory and Application.IEEE Trans Geosci Remote Sens,1992,30:231~248.
5 McCartney E J.大气光学—分子和粒子散射.潘乃先等译.北京:科学出版社,1988.
6 d Almeida G A,Koephe P,Shettle E P.Atmospheric Aerosols,Global Climatology and RadiativeCharacteristics.Deepak,Hampton,VA,1991.
7 Fraser R S.Computed Atmospheric Corrections for Satellite Data. Proc Soc Photo-Opt Instrum Eng,1974,51:64~73.
8 Tanre D,Legrand M. On the Satellite Retrieval of Saharan Dust Optical Thickness over Land:Two Different Approaches. J Geophys Sci,1991,96:5221~5227.
9 Tanre D, Herman M,Deschamps P Y.Influence of the Background contribution upon Space Measurements of Ground Reflectance. Appl Opt,1981,20:3676~3684.
10 Kaufman Y J.Atmospheric Effect on Spatial Resolution of Surface Imagery.Appl Opt,1984,23:3400~3408.
11 Mekler Y, Kaufman Y J.Contrast Reduction by the Atmosphere and Retrieval of Nonuniform Surface Reflectance.Appl Opt,1982,21:310~316.
12 Liang S,Strahler A H.Calculation of the Angular Radiance Distribution for a Coupled Atmosphere and Canopy.IEEE Trans Geosci Remote Sens,1993,31:491~502.
13 Liang S, Strahler A H.An Analytic Radiative Transfer Model for a Coupled Atmosphere and Leaf Canopy.J Geophys Res,1995,100:5085~5094.
14 Pearce W A. Monte Carlo Study of the Atmospheric Spread Function.Appl Opt,1986,25:438~447.
15 Holben B N.Characteristics of Maximum Value Composite Images for Temporal AVHRR Data. Int J Remote Sens,1986,7:1417~1437.
16 Kaufman Y J,Sendra C.Algorithm for Atmospheric Corrections.Int J Remote Sens,1988,9:1357~1381.
17 Holben B N,Vermote E, Kaufman Y J, et al.Aerosols Retrieval over Land from AVHRR Data-application for Atmospheric Correction.IEEE Trans Geosci Remote Sens,1992,30:212~222.
18 Kaufman Y J, Tanre D. Strategy for Direct and Indirect Methods for Correcting the Aerosol Effect on Remote Sensing:from AVHRR to EOS-MODIS. Remote Sens Environ,1996,55:65~79.

[1] 廖凯涛,齐述华,王成,王点. 结合GLAS和TM卫星数据的江西省森林高度和生物量制图[J]. 遥感技术与应用, 2018, 33(4): 713-720.
[2] 王俊,秦其明,叶昕,王建华,秦雪彬,杨绣丞. 高分辨率光学遥感图像建筑物提取研究进展[J]. 遥感技术与应用, 2016, 31(4): 653-662.
[3] 李爱农,尹高飞,靳华安,边金虎,赵伟. 山地地表生态参量遥感反演的理论、方法与问题[J]. 遥感技术与应用, 2016, 31(1): 1-11.
[4] 李晓,杜永明,徐大琦,柳钦火. 面向定量遥感研究的遥感模型集成平台设计与实现[J]. 遥感技术与应用, 2015, 30(2): 285-291.
[5] 吴玮,秦其明,杨思全,范一大,陈正超,张文娟. 面向减灾应用的光学成像静止卫星能力分析[J]. 遥感技术与应用, 2013, 28(6): 984-993.
[6] 许军毅,计科峰,雷 琳,杜 春. 基于GLRT的光学卫星遥感图像舰船目标检测[J]. 遥感技术与应用, 2012, 27(4): 616-622.
[7] 占车生,李玲,王会肖,赵洁. 台湾地区蒸散发的遥感估算与时空分析[J]. 遥感技术与应用, 2011, 26(4): 405-412.
[8] 朱 博, 王新鸿, 唐伶俐, 李传荣. 光学遥感图像信噪比评估方法研究进展[J]. 遥感技术与应用, 2010, 25(2): 303-309.
[9] 蒋赛,汪西莉,赵玉芹. 渭河定量遥感水质反演中的大气校正作用研究[J]. 遥感技术与应用, 2009, 24(2): 204-209.
[10] 黄春林, 李 新, 卢 玲. 基于模拟退火算法的植被参数遥感反演[J]. 遥感技术与应用, 2006, 21(4): 271-276.
[11] 安培浚 , 刘树林, 颉耀文, 高峰 . 植被指数遥感定量研究——以民勤绿洲为例[J]. 遥感技术与应用, 2005, 20(6): 574-580.
[12] 黄 芳,陈洪滨,王振会. 37 GHz和94 GHz的大气微波衰减比较分析[J]. 遥感技术与应用, 2003, 18(5): 269-275.
[13] 刘新平, 高英俊, 鲁昭, 吴磊. 遥感器小型化技术研究[J]. 遥感技术与应用, 1999, 14(3): 30-33.
[14] 闵祥军, 朱永豪, 朱振海, 田庆久. MAIS图像大气订正及其在岩矿制图中的应用[J]. 遥感技术与应用, 1999, 14(2): 1-9.
[15] 刘东琦 王介民. 沿轨扫描辐射计的特点和应用[J]. 遥感技术与应用, 1998, 13(1): 35-39.