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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Automated High-Resolution Satellite Image Registration Using Supraglacial Rivers on the Greenland Ice Sheet
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Automated High-Resolution Satellite Image Registration Using Supraglacial Rivers on the Greenland Ice Sheet

机译：使用格陵兰冰原上的冰川上河自动进行高分辨率卫星图像配准

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High-resolution satellite imagery raises new prospects for detailed study of the Greenland ice sheet (GrIS) surface processes and ice discharge. However, dramatic spatiotemporal variability of ice surface reflectance and features poses significant challenges for registration of satellite imagery. This study proposes a new feature-based registration method to register high-resolution panchromatic images of the ice sheet ablation zone. Its idea is to use relatively stable supraglacial rivers as tie points for automated image registration. A first demonstration is made using WorldView-1/2/3 panchromatic images (spatial resolution 0.5 m) as follows: first, supraglacial rivers are delineated using spectral analysis, nonlocal means denoising, Gabor filtering, and path opening. Next, buffer and overlay tools are combined to generate an area of interest and eliminate tie point outliers, yielding subset of high-confidence tie points for registration. Finally, a coherent point drift algorithm is applied to match these tie points and implement registration. Results show that the proposed method demonstrates good performance, despite a heterogeneous ice surface background that complicates river delineation. Accuracy of image registration negatively correlates with seasonal spatiotemporal variability of supraglacial river patterns, suggesting that for the best results, repeat images and time-adaptive techniques should be used. For time-stable meltwater channels, however, the method offers a novel, automated way to register high-resolution satellite imagery of the GrIS ablation zone. Well-registered ice surface high-resolution images reveal that short-term (1-2 week) variations in surface melting rate affect channel morphology (drainage densities and channel widths) significantly, whereas a signal from background advection by flowing ice is not apparent.
机译：高分辨率卫星图像为格陵兰冰原（GrIS）表面过程和冰排放的详细研究提供了新的前景。然而，冰面反射率和特征的巨大时空变化对卫星图像的配准提出了重大挑战。这项研究提出了一种新的基于特征的配准方法来配准冰原消融区的高分辨率全色图像。它的想法是使用相对稳定的冰川河作为自动图像配准的联系点。使用WorldView-1 / 2/3全色图像（空间分辨率0.5 m）进行的第一个演示如下：首先，使用频谱分析，非局部均值消噪，Gabor滤波和路径开放来描绘冰川河。接下来，将缓冲区工具和覆盖工具组合在一起以生成感兴趣的区域，并消除联系点离群值，从而生成用于注册的高可信联系点子集。最后，采用相干点漂移算法来匹配这些联系点并实现配准。结果表明，尽管冰面背景不均一，使河流划分变得复杂，但该方法仍具有良好的性能。图像配准的准确性与沿冰川河流型的季节性时空变化呈负相关，这表明为获得最佳结果，应使用重复图像和时间自适应技术。但是，对于时间稳定的融水通道，该方法提供了一种新颖的自动方式来记录GrIS消融区的高分辨率卫星图像。记录良好的冰表面高分辨率图像显示，表面融化速率的短期（1-2周）变化会显着影响通道形态（排水密度和通道宽度），而由流动冰引起的背景平流的信号并不明显。

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