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Mapping arctic landfast ice extent using L-band synthetic aperture radar interferometry

机译:利用L波段合成孔径雷达干涉仪绘制北极陆冰范围

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In recent years methods have been developed to extract the seaward landfast ice edge from series of remote sensing images, with most of them relying on incoherent change detection in optical, infrared, or radar amplitude imagery. While such approaches provide valuable results, some still lack the required level of robustness and all lack the ability to fully automate the detection and mapping of landfast ice over large areas and long time spans. This paper introduces an alternative approach to mapping landfast ice extent that is based on coherent processing of interferometric L-band Synthetic Aperture Radar (SAR) data. The approach is based on a combined interpretation of interferometric phase pattern and interferometric coherence images to extract the extent and stability of landfast ice. Due to the low complexity of the base imagery used for landfast ice extraction, significant improvements in automation and reduction of required manual interactions by operators can be achieved. A performance analysis shows that L-band interferometric SAR (InSAR) data enable the mapping of landfast ice with high robustness and accuracy for a wide range of environmental conditions.
机译:近年来,已经开发了从一系列遥感图像中提取沿海陆地冰边缘的方法,其中大多数依赖于光学,红外或雷达振幅图像中的非相干变化检测。尽管这样的方法提供了有价值的结果,但其中一些仍然缺乏所需的鲁棒性,并且都缺乏完全自动化大面积,长跨度的陆冰的检测和制图的能力。本文介绍了一种基于陆地L波段合成孔径雷达(SAR)数据相干处理的陆面冰范围测绘方法。该方法基于对干涉相图和干涉相干图像的组合解释,以提取陆冰的范围和稳定性。由于用于陆冰提取的基础图像的复杂性较低,因此可以实现自动化方面的显着改进,并减少了操作员所需的手动交互。性能分析表明,L波段干涉SAR(InSAR)数据可以在各种环境条件下以高鲁棒性和准确性对陆冰进行制图。

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