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Spatial resolution improvement of SSM/I data with image restoration techniques

机译:利用图像恢复技术提高SSM / I数据的空间分辨率

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摘要

A space variant image restoration algorithm has been developed with the aim of improving the spatial resolution of SSM/I (Special Sensor Microwave/Imager) passive microwave imagery. Due to the conical scanning of the instrument the relative geometry of the data samples changes over the scan. This change is accounted for by using a space variant point-spread-function in the restoration algorithm. Application of this algorithm to a scene from the Weddell Sea results in an image with enhanced ice edge and coast definition. As a result ice concentration estimates near the edge agree more closely with higher resolution (optical) data from AVHRR.
机译:为了提高SSM / I(特殊传感器微波/成像器)无源微波成像的空间分辨率,开发了一种空间变异图像恢复算法。由于仪器的锥形扫描,数据样本的相对几何形状在扫描过程中会发生变化。通过在恢复算法中使用空间变量点扩展函数来解决此更改。将该算法应用于Weddell Sea的场景,可以生成具有增强的冰边和海岸清晰度的图像。结果,边缘附近的冰浓度估计值与来自AVHRR的更高分辨率(光学)数据更加接近。

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