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应用科学学报 >

2016 , Vol. 34 >Issue 3: 317 - 328

DOI: https://doi.org/10.3969/j.issn.0255-8297.2016.03.009

信号与信息处理

提高滇东南石漠化区域遥感反演中的大气校正精度

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  • 1. 昆明理工大学 国土资源工程学院, 昆明 650093;
    2. 昆明理工大学 城市学院, 昆明 650024

收稿日期: 2015-04-15

  修回日期: 2015-06-14

  网络出版日期: 2016-05-30

基金资助

国家自然科学基金(No.41261092);云南省自然科学基金(No.KKSY201321130)资助

收起

Improving Atmospheric Correction Precision of Remote Sensing Image Inversion in Southeast Rocky Desertification Area of Yunnan

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  • 1. Engineering Institute of Land and Resources, Kunming University of Science and Technology, Kunming 650093, China;
    2. City College, Kunming University of Science and Technology, Kunming 650024, China

Received date: 2015-04-15

  Revised date: 2015-06-14

  Online published: 2016-05-30

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摘要

在充分考虑气溶胶空间分布和地表临近效应的基础上,综合考虑湿度及光谱分析确定合理的能见度,并分析研究不同校准文件对于光谱反射率的影响.将这些值应用于大气校正的计算过程,以此提高大气校正的精度.结果表明,利用该模型进行的大气校正能够有效降低大气分子、水汽、臭氧、气溶胶粒子等对卫星遥感影像造成的影响,提高遥感石漠化信息反演精度.该方法在冬季的校正效果较秋季和春季的更佳.

关键词： 石漠化; 大气校正; 反演精度; 遥感影像

本文引用格式

李素敏, 袁利伟, 袁希平 . 提高滇东南石漠化区域遥感反演中的大气校正精度[J]. 应用科学学报, 2016 , 34(3) : 317 -328 . DOI: 10.3969/j.issn.0255-8297.2016.03.009

Abstract

Based on the aerosols spatial distribution and the near effect of the earth's surface, the paper studies the influence of different calibration files for spectral reflectance, determines appropriate calibration information, takes into account humidity, and determines reasonable visibility through spectral analysis. These values are used in the calculation of atmospheric correction to improve precision of atmosphere correction. The results show that they can effectively reduce the effects of air molecules, water vapor, aerosol particles, and ozone on the satellite remote sensing images, and improve remote sensing information inversion accuracy in the rocky desertification area. The performance of this method is better in winter than in autumn and spring.

Key words： atmospheric correction; inversion accuracy; remote sensing image; rocky desertification

参考文献

[1] 袁道先. 岩溶石漠化问题的全球视野和我国的治理对策与经验[J]. 草业科学,2008,25(9):19-25. Yuan D X. Global view on Karst rock desertification and integrating control measures and experiences of China[J]. Pratacultural Science, 2008, 25(9):19-25. (in Chinese)
[2] 熊平生,袁道先,谢世友.我国南方岩溶山区石漠化基本问题研究进展[J]. 中国岩溶,2010, 29(4):355-362. Xiong P S, Yuan D X, Xie S Y. Progress of research on rocky desertification in south China karst mountain[J]. Carsologica Sinica, 2010, 29(4):355-362. (in Chinese)
[3] Chen J, Quan W T, Cui T W. Remote sensing of absorption and scattering coefficient using neural network model:development, validation, and application[J]. Remote Sensing of Environment, 2014, 149(4):213-226.
[4] Hilker T, Lyapustin A I, Tucker C J. Remote sensing of tropical ecosystems:atmospheric correction and cloud masking matter[J]. Remote Sensing of Environment, 2012, 12(127):370-384.
[5] 杨磊,潘志强,傅俏燕,韩启金,孙珂,张学文,王爱春. 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. Yang L, Pan Z Q, Fu Q Y, Han Q J, Sun K, Zhang X W, Wang A C. Research on the atmospheric correction for ZY-3 MUX image[J]. Spectroscopy and Spectral Analysis, 2013, 33(7):1903-1907. (in Chinese)
[6] 郭红,顾行发,谢勇,余涛,高海亮,魏香琴,刘其悦.基于ZY-3CCD相机数据的暗像元大气校正方法分析与评价[J]. 光谱学与光谱分析,2014, 34(8):2203-2207. Guo H, Gu X F, Xie Y, Yu T, Gao H L, Wei X Q, Liu Q Y. Evaluation of four dark object atmospheric correction methods based on ZY-3 CCD data[J]. Spectroscopy and Spectral Analysis, 2014, 34(8):2203-2207. (in Chinese)
[7] 曾群,赵越,田礼乔,陈晓玲.HJ-1A/1B卫星CCD影像水环境遥感大气校正方法评价研究-以鄱阳湖为例[J]. 光谱学与光谱分析,2013, 33(5):1320-1326. Zenh Q, Zhao Y, Tian L Q, Chen X L. Evaluation on the atmospheric correction methods for water color remote sensing by using HJ-1A/1B CCD image-taking Poyang Lake in China as a case[J]. Spectroscopy and Spectral Analysis, 2013, 33(5):1320-1326. (in Chinese)
[8] 姚薇,李志军,姚珙,吴金凤,江栋梁. Landsat卫星遥感影像的大气校正方法研究[J]. 大气科学学报,2011, 34(2):251-256. Yao W, Li Z J, Yao G, Wu J F, Jiang D L. Atmospheric correction model for Landsat images[J]. Journal of Nanjing Institute of Meteorology, 2011, 34(2):251-256. (in Chinese)
[9] Mouw C B, Chen H, Mckinley G A. Evaluation and optimization of bio-optical inversion algorithms for remote sensing of lake superior's optical properties[J]. Journal of Geophysical Research-Oceans, 2013, 118(4):1696-1714.
[10] Murakami H, Dupouy C. Atmospheric correction and inherent optical property estimation in the southwest new Caledonia Lagoon using AVNIR-2 high-resolution data[J]. Applied Optics. 2013,2(52):182-198.
[11] 赫晓慧,张曦文.基于TM影像的大气辐射校正方法对比分析[J].郑州大学学报:工学版,2013, 34(3):125-128. He X H, Zhang X W. Study on comparison of atmospheric radiation correction based on TM images[J]. Journal of Zhengzhou University:Engineering Science, 2013, 34(3):125-128. (in Chinese)
[12] 胡顺石,张立福,张霞.卫星传感器波段平均太阳辐照度计算及可靠性分析[J]. 国土资源遥感,2012, 3:98-102. Hu S S, Zhang L F, Zhang X. Calculation and reliability analysis of satellite sensors band solar irradiance[J]. Remote Sensing for Land & Resources, 2012, 3:98-102. (in Chinese)
[13] 赵慧洁,江澄,贾国瑞. 起伏地形的高光谱遥感地气耦合辐射建模研究[J].光谱学与光谱分析, 2014, 1(34):191-195. Zhao H J, Jiang C, Jia G R. Study on the modeling of earth-atmosphere coupling over rugged scenes for hyperspectral remote sensing[J]. Spectroscopy and Spectral Analysis, 2014, 1(34):191-195. (in Chinese)
[14] 刘成玉,陈春,张树清,高箕悦.ETM图像大气邻近效应校正[J]. 光谱学与光谱分析,2010, 30(9):2529-2532. Liu C Y, Chen C, Zhang S Q, Gao J Y. Atmospheric adjacency effect correction of ETM images[J]. Spectroscopy and Spectral Analysis, 2010, 30(9):2529-2532. (in Chinese)
[15] Liang S, Fang H, Chen M, Shuey C, Daughtry C. Atmospheric correction of landsat ETM+land surface imagery:Ⅱ. validation and application[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40:2736-2746.

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