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首页> 外文会议>International symposium on photoelectronic detection and imaging;ISPDI 2011 >Topographic correction realization based on the CBERS-02B image
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Topographic correction realization based on the CBERS-02B image

机译：基于CBERS-02B图像的地形校正实现

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The special topography of mountain terrain will induce the retrieval distortion in same species and surface spectral lines. In order to improve the research accuracy of topographic surface characteristic, many researchers have focused on topographic correction. Topographic correction methods can be statistical-empirical model or physical model, in which the methods based on the digital elevation model data are most popular. Restricted by spatial resolution, previous model mostly corrected topographic effect based on Landsat TM image, whose spatial resolution is 30 meter that can be easily achieved from internet or calculated from digital map. Some researchers have also done topographic correction based on high spatial resolution images, such as Quickbird and Ikonos, but there is little correlative research on the topographic correction of CBERS-02B image. In this study, liao-ning mountain terrain was taken as the objective. The digital elevation model data was interpolated to 2.36 meter by 15 meter original digital elevation model one meter by one meter. The C correction, SCS+C correction, Minnaert correction and Ekstrand-r were executed to correct the topographic effect. Then the corrected results were achieved and compared. The images corrected with C correction, SCS+C correction, Minnaert correction and Ekstrand-r were compared, and the scatter diagrams between image digital number and cosine of solar incidence angel with respect to surface normal were shown. The mean value, standard variance, slope of scatter diagram, and separation factor were statistically calculated. The analysed result shows that the shadow is weakened in corrected images than the original images, and the three-dimensional affect is removed. The absolute slope of fitting lines in scatter diagram is minished. Minnaert correction method has the most effective result. These demonstrate that the former correction methods can be successfully adapted to CBERS-02B images. The DEM data can be interpolated step by step to get the corresponding spatial resolution approximately for the condition that high spatial resolution elevation data is hard to get.
机译：山区地形的特殊地形将在相同物种和地表光谱线中引起恢复畸变。为了提高地形表面​​特征的研究精度，许多研究者将注意力集中在地形校正上。地形校正方法可以是统计经验模型或物理模型，其中基于数字高程模型数据的方法最为流行。受空间分辨率的限制，以前的模型主要根据Landsat TM影像校正了地形效果，其空间分辨率为30米，可以很容易地从Internet上获得或从数字地图中计算出来。一些研究人员还基于Quickbird和Ikonos等高空间分辨率图像进行了地形校正，但是有关CBERS-02B图像的地形校正的相关研究很少。以辽宁山区地形为研究对象。数字高程模型数据以15米的原始数字高程模型内插1米x 1米插值到2.36米。进行C校正，SCS + C校正，Minnaert校正和Ekstrand-r校正地形效果。然后获得校正的结果并进行比较。比较了用C校正，SCS + C校正，Minnaert校正和Ekstrand-r校正后的图像，并显示了图像数字和太阳入射角的余弦之间相对于表面法线的散布图。统计计算平均值，标准方差，散布图的斜率和分离因子。分析结果表明，校正后的图像中的阴影比原始图像要弱一些，并且消除了三维影响。散布图中拟合线的绝对斜率最小。 Minnaert校正方法具有最有效的结果。这些证明了以前的校正方法可以成功地适应CBERS-02B图像。在难以获得高空间分辨率高程数据的情况下，可以逐步内插DEM数据以大致获得相应的空间分辨率。

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