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Meteorological Image Descriptors

机译:气象图像描述符

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摘要

The objective of this paper is to get a visual characterization of time evolution images, in particular, synoptic maps taken from Meteorology. Preliminary tasks required before image processing are reviewed. Two different types of numerical descriptors are extracted for characterizing the images, the called low level numerical descriptors, and the high level corresponding ones. The latter will be subsequently used for prediction tasks, meanwhile the former will be used for classification tasks. Three different relevant information sources in the images are identified as their tow level descriptors. These are defined by the local density and orientation of the isobar lines, and the number of centres of high (H) and low (L) pressure. Regarding the high level descriptors, two main features are taken into account. The different procedures carried out to extract the previous descriptors for our images of interest are discussed.
机译:本文的目的是获得时间进化图像的视觉表征,特别是从气象中取出的概要地图。审核图像处理之前所需的初步任务。提取两种不同类型的数值描述符以表征图像,称为低电平数值描述符和高电平相应的数字描述符。后者将随后用于预测任务,同时前者将用于分类任务。图像中的三个不同相关信息源被识别为其牵引级别描述符。这些由局部密度和等离线的局部密度和取向定义,以及高(H)和低(L)压力的中心的数量。关于高级描述符,考虑了两个主要功能。讨论了为我们感兴趣的图像中提取先前描述符进行的不同程序。

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