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Pressure ridges extraction usign Radarsat fine beam model

机译:使用Radarsat细梁模型提取压力脊

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We present data recorded before and duirng the spring melt onset. This time period was chosen due to the fast evolution of snow and ice characteristics and, therefore, of the contrast between ice plate and ridges. With the development of a wet film on the snow and ice surface, reflection on some ice blocks enhances the ridge return while due to the increased forward scattering, the signal intensity from flat ice areas is reduced. As the melt goes on, this produces an iamge on which the ridge-plate contrast allows the extraction of a larger proportion of hte ridge network. This data was then used to position ridges on an image recorded before the melt and compute ridge statistics. We show that ridges are not only characterized by bright linear structures. The bright structure is paralleled by a black structure in which the return is lower than the background. This explains why standard resolution images do not give good resutls in ridge detection. Pixels from both structures are itnegrated, producing an iamge with a reduced ridge-plate contrast.
机译:我们提供在春季融化开始之前和之中记录的数据。之所以选择这个时间段,是因为雪和冰的特性快速发展,因此,冰盖和山脊之间的对比度也很高。随着雪和冰面上湿膜的形成,一些冰块上的反射增强了脊的回流,而由于增加的前向散射,来自平坦冰区的信号强度降低了。随着熔体的继续,这会产生一个图像,在该图像上,脊板对比可以提取出较大比例的热脊网络。然后,该数据用于在熔化之前记录的图像上定位凸脊并计算凸脊统计信息。我们表明,脊不仅以明亮的线性结构为特征。明亮的结构与黑色结构平行,在黑色结构中,返回值低于背景。这就解释了为什么标准分辨率图像在脊检测中不能提供良好的结果。两种结构的像素均被求反,从而产生具有降低的脊板对比度的图像。

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