利用C波段和L波段双极化SAR数据监测波罗的海海冰

R. Uiboupin, L. Sipelgas
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引用次数: 0

摘要

冰动力监测和冰类型分类是了解环境变化和冬季安全航行的重要任务。合成孔径雷达(SAR)是一种强大的探测脊状冰区的仪器,因为雷达的后向散射受冰表面几何特性的强烈影响。来自Radarsat-2和ALOS/Palsar等偏振SAR传感器的数据可以更精确地确定冰的类型,因为它比单偏振图像包含更多关于冰面几何形状的信息。使用双偏振SAR图像也被称为紧凑型偏振成像已被证明是有用的,因为它降低了SAR图像的复杂性、成本和数据速率,同时保留了全偏振图像的大部分功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sea ice monitoring in the Baltic Sea using dual-pol C and L band SAR data
Monitoring of ice dynamics and ice type classification is an important task for understanding environmental changes as well as for safe winter navigation. SAR (Synthetic Aperture Radar) is a powerful spacebourne instrument to detect ridged ice regions as the radar backscatter is strongly influenced by geometrical properties of the ice surface. Data from polarimetric (or dual-pol) SAR sensors like Radarsat-2 and ALOS/Palsar enables to determine more precisely ice types as it contains more information about the ice surface geometry than single polarization images. Use of dual polarization SAR imagery also known as compact polarimetry has shown to be useful as it has reduced the complexity, cost and data rate of SAR image while preserving most of the capabilities of fully polarimetric image.
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