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Low Latency DESDynl Data Products for Disaster Response, Resource Management and Other Applications

机译:低延迟DESDynl数据产品,用于灾难响应,资源管理和其他应用

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We are developing onboard processor technology targeted at the L-band SAR instrument onboard the planned DESDynl mission to enable formation of SAR images onboard opening possibilities for near-real-time data products to augment full data streams. Several image processing and/or interpretation techniques are being explored as possible direct-broadcast products for use by agencies in need of low-latency data, responsible for disaster mitigation and assessment, resource management, agricultural development, shipping, etc Data collected through UAVSAR (L-band) serves as surrogate to the future DESDynl instrument We have explored surface water extent as a tool for flooding response, and disturbance images on polarimetric backscatter of repeat pass imagery potentially useful for structural collapse (earthquake), mud/land/debris-slides etc We have also explored building vegetation and snow/ice classifiers, via support vector machines utilizing quad-pol backscatter, cross-pol phase, and a number of derivatives (radar vegetation index, dielectric estimates, etc). We share our qualitative and quantitative results thus far.
机译:我们正在开发计划中的DESDynl任务上针对L波段SAR仪器的机载处理器技术,以实现在机载SAR图像上形成近实时数据产品的可能性,以增强整个数据流。正在探索几种图像处理和/或解释技术,作为可能的直接广播产品,供需要低延迟数据的机构使用,这些机构负责减灾和评估,资源管理,农业发展,运输等。通过UAVSAR收集的数据( L波段)替代了未来的DESDynl仪器。我们已经研究了地表水范围作为洪水响应的工具,并且重复通过图像的偏振反向散射上的扰动图像可能对结构坍塌(地震),泥浆/土地/碎屑有用。幻灯片等我们还通过支持向量机,利用四极点反向散射,交叉极点相位和许多导数(雷达植被指数,介电估计等),探索了建筑物植被和雪/冰分类器。到目前为止,我们分享定性和定量结果。

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