利用SAR和社交媒体图像进行地球观测

Yuanyuan Wang, Xiaoxiang Zhu
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引用次数: 0

摘要

地球观测(EO)主要是通过集中光学和合成孔径雷达(SAR)任务进行的。尽管他们的产品质量受到控制,但这种观察受到传感器平台特性的限制,例如重访时间。在过去的十年里,社交媒体的快速发展积累了大量的网络图片。尽管它们的质量不受控制,但绝对数量可能包含有用的信息,可以补充EO任务,特别是SAR任务。,,,,,,本文介绍了社交媒体与SAR图像融合的初步工作。它们具有独特的成像几何形状,如果没有精确的3d模型,几乎不可能进行共配。我们描述了一种通用的方法来共同注册他们不使用外部三维模型。我们证明,我们可以获得一种新的三维城市模型,该模型包括更好地理解场景的光学纹理和从SAR干涉测量中获得的精确变形。
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Earth Observation Using SAR and Social Media Images
Earth Observation (EO) is mostly carried out through centralized optical and synthetic aperture radar (SAR) missions. Despite the controlled quality of their products, such observation is restricted by the characteristics of the sensor platform, e.g. the revisit time. Over the last decade, the rapid development of social media has accumulated vast amount of online images. Despite their uncontrolled quality, the sheer volume may contain useful information that can complement the EO missions, especially the SAR missions.,,,,,, This paper presents a preliminary work of fusing social media and SAR images. They have distinct imaging geometries, which are nearly impossible to even coregister without a precise 3-D model. We describe a general approach to coregister them without using external 3-D model. We demonstrate that, one can obtain a new kind of 3-D city model that includes the optical texture for better scene understanding and the precise deformation retrieved from SAR interferometry.
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