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The problem of quality assessing for the methods of coherence maps calculation in InSAR remote sensing of the Earth data processing

机译:基于地球数据处理的漫长遥感方法的相容性映射方法的质量评估问题

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Interferometric coherence is an important indicator of the quality of interferograms obtained by synthetic aperture interferometric radars (InSAR), because the areas with low coherence are not suitable for interferometric data processing. The coherence value is used as a parameter for adaptive phase noise suppression algorithms. It can also be used for surface classification tasks. The paper investigates the problem of the coherence estimate reducing under the influence of the topographic phase slope and considers ways to reduce the impact of the slope on the estimate value. The paper presents a comparative efficiency analysis of four methods for coherence maps calculation used for the phase noise suppression on the interferograms by a spectral adaptive filter in interferometric data processing for the Earth's remote sensing space radar ALOS PALSAR.
机译:干涉式相干性是通过合成孔径干涉雷达(INSAR)获得的干涉图质量的重要指标,因为具有低相干性的区域不适合干涉数据处理。 相干值用作自适应相位噪声抑制算法的参数。 它也可用于表面分类任务。 本文调查了在地形阶段坡度的影响下减少的相干性估计的问题,并考虑降低坡度对估计值的影响。 本文介绍了四种相干图的方法,用于通过光谱自适应滤波器在地球遥感空间雷达Alos Palsar的干涉式数据处理中对干涉图中的相位噪声抑制的相干图计算方法的比较效率分析。

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