EXTRACTION OF SEA ICE ROUGHNESS STRUCTURE CHARACTERISTICS

机译：海冰粗糙度结构特征提取

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First-year ice pressure ridges are regions with brighter return than the background. However, in most cases, only a few ridges are contrasted enough to allow their extraction. We present data recorded during the spring melt onset when the rapid evolution of snow and ice characteristics offers a wide range of conditions. With the increase of the water content in the snow, SAR energy is mainly diffused and reflected at the snow-air interface. This therefore produces an image on which the background backscattering is smoothed and the return from ice blocks emerging from the snow cover enhanced. Also, the development of a wet film on ice blocks increases their return and consequently the resolution of pressure ridges. We present field data and a simulation showing that sea ice roughness structures may be extracted from SAR fine beam mode images. Our simulations show that the probability that the return signal from a ridge be identified as a ridge-return is a function of the ratio between the block size and the IFOV. It follows that modifying the ground area integrated in a pixel, we obtain images in which resolved ridges are those corresponding to a given range of block sizes and then, considering that block sizes and ridge heights are related, to a range of ridge heights.

机译：第一年的冰脊是与背景更亮的地区。然而，在大多数情况下，只有几个脊状比对比以允许其提取。当雪和冰特性的快速演变提供广泛的条件时，我们呈现春季熔体发作期间记录的数据。随着雪中的水含量的增加，SAR能量主要是扩散和反映在雪空中界面。因此，这产生了在其上平滑背景反向散射的图像，并且从积雪覆盖的冰块上返回到增强的冰块。而且，冰块上的湿膜的开发增加了它们的返回，从而增加了压力脊的分辨率。我们存在现场数据和模拟，示出了可以从SAR精细光束模式图像中提取海冰粗糙结构。我们的模拟表明，ridge的返回信号被识别为脊返回的概率是块大小与IFOV之间的比率的函数。因此，修改集成在像素中的接地区域，我们获得其中分辨脊的图像是对应于给定范围的块大小的图像，然后考虑到块尺寸和脊高度与一系列脊高度有关。

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《International conference on remote sensing for marine and coastal environments》|2000年||共8页
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E. Hudier;
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EXTRACTION OF SEA ICE ROUGHNESS STRUCTURE CHARACTERISTICS

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