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面向高分辨率遥感影像的地形辐射校正方法

丁一帆 尤红建 张浩 陈双军 许斌 孙韬

丁一帆, 尤红建, 张浩, 等 . 面向高分辨率遥感影像的地形辐射校正方法[J]. 北京航空航天大学学报, 2018, 44(1): 27-35. doi: 10.13700/j.bh.1001-5965.2016.0979
引用本文: 丁一帆, 尤红建, 张浩, 等 . 面向高分辨率遥感影像的地形辐射校正方法[J]. 北京航空航天大学学报, 2018, 44(1): 27-35. doi: 10.13700/j.bh.1001-5965.2016.0979
DING Yifan, YOU Hongjian, ZHANG Hao, et al. Topographic correction method for high-resolution remote sensing images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(1): 27-35. doi: 10.13700/j.bh.1001-5965.2016.0979(in Chinese)
Citation: DING Yifan, YOU Hongjian, ZHANG Hao, et al. Topographic correction method for high-resolution remote sensing images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(1): 27-35. doi: 10.13700/j.bh.1001-5965.2016.0979(in Chinese)

面向高分辨率遥感影像的地形辐射校正方法

doi: 10.13700/j.bh.1001-5965.2016.0979
基金项目: 

国家自然科学基金 61672076

详细信息
    作者简介:

    丁一帆  男, 博士研究生, 高级工程师。主要研究方向:遥感卫星数据处理与应用

    尤红建  男, 研究员, 博士生导师。主要研究方向:遥感处理与应用

    通讯作者:

    丁一帆, E-mail: dingyifan14@mails.ucas.ac.cn

  • 中图分类号: P237

Topographic correction method for high-resolution remote sensing images

Funds: 

National Natural Science Foundation of China 61672076

More Information
  • 摘要:

    地形辐射校正对获取准确的地表定量遥感精度意义重大。针对传统地形辐射校正模型不适用于高分辨率遥感影像的问题,提出了一种基于辐射传输模型,同时严控误差源的地形辐射校正方法,以资源三号01星高分辨率全色及多光谱遥感影像为例进行相关实验,实现对高分辨率遥感影像的地形辐射校正,并进行了主客观分析与评价。分析结果表明:本文提出的地形辐射校正模型和方法,能有效解决全色遥感影像在绝对辐射定标系数缺失情况下校正效果差以及如何保持高分辨率遥感影像细节等难点,较传统方法更适用于高分辨率遥感影像。

     

  • 图 1  地形辐射校正流程图

    Figure 1.  Topographic correction flowchart

    图 2  实验图像示例

    Figure 2.  Example of experimental images

    图 3  观测站位置示意图

    Figure 3.  Schematic of location of observation station

    图 4  多光谱遥感影像处理结果辐射对比

    Figure 4.  Comparison of radiation of multispectral image experimental process results

    图 5  多光谱遥感影像处理细节对比

    Figure 5.  Comparison of process results for details of multispectral images

    图 6  全色遥感影像处理结果辐射对比

    Figure 6.  Comparison of radiation of panchromatic image process results

    图 7  针对全色遥感影像的不同方法结果对比

    Figure 7.  Comparison of different methods for panchromatic images

    图 8  不同方法的全色遥感影像校正结果对比

    Figure 8.  Comparison of correction results for panchromatic images among different methods

    图 9  统计特征区域示意图

    Figure 9.  Schematic of statistical characteristic area

    图 10  多光谱遥感影像处理前后直方图统计对比

    Figure 10.  Statistic comparison of histogram for multispectral image process results

    图 11  多光谱遥感影像处理前后XY方向剖面对比

    Figure 11.  Comparison of X and Y direction profiles before and after correction for multispectral image

    图 12  光谱一致性评价图

    Figure 12.  Evaluation chart of spectral consistency

    表  1  资源三号01星遥感影像绝对辐射定标系数

    Table  1.   Absolute radiometric calibration coefficients for ZY3-01 satellite images

    载荷 波段 光谱范围/
    μm
    定标系数增益项 定标系数偏移量
    多光谱 Band 1 0.45~0.52 0.233 0 0
    Band 2 0.52~0.59 0.216 2 0
    Band 3 0.63~0.69 0.178 9 0
    Band 4 0.77~0.89 0.194 9 0
    全色 Pan 0.50~0.80 0.170 8 0
    下载: 导出CSV

    表  2  多光谱遥感影像校正前后统计特征值对比

    Table  2.   Comparison of statistical eigenvalues before and after correction for multispectral images

    波段 校正前 校正后
    均值/
    10-2
    标准差/
    10-2
    变异系数 均值/
    10-2
    标准差/
    10-2
    变异系数
    1 0.407 0.420 1.032 0.505 0.420 0.832
    2 2.339 0.832 0.356 2.529 0.757 0.299
    3 2.400 0.655 0.273 2.630 0.579 0.220
    4 29.049 5.722 0.197 31.469 5.107 0.162
    下载: 导出CSV

    表  3  全色遥感影像校正前后统计特征值对比

    Table  3.   Comparison of statistical eigenvalues before and after correction for panchromatic images

    统计量 原始图像 C校正法 ATCOR算法 本文方法
    均值/10-2 7.59 10.07 8.28 9.55
    标准差/10-2 4.36 2.98 2.03 2.10
    变异系数 0.574 0.296 0.245 0.220
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-12-29
  • 录用日期:  2017-02-06
  • 网络出版日期:  2018-01-20

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