Meteorological Image Descriptors

机译：气象图像描述符

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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演化图像的视觉特征，特别是从气象学获取的天气图。审查图像处理之前所需的初步任务。提取两种不同类型的数字描述符以表征图像，分别称为低级数字描述符和高级对应的数字描述符。后者将随后用于预测任务，而前者将用于分类任务。图像中的三个不同的相关信息源被标识为其拖曳级别描述符。这些由等压线的局部密度和方向以及高压（H）和低压（L）的中心数定义。关于高级描述符，考虑了两个主要特征。讨论了提取感兴趣的图像的先前描述符所执行的不同过程。

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来源
《International Conference on Computer Aided Systems Theory(EUROCAST 2005); 20050207-11; Las Palmas de Gran Canaria(ES)》|2005年|P.101-110|共10页
会议地点 Las Palmas de Gran Canaria(ES)
作者
J.L. Crespo; P. Bernardos; M.E. Zorrilla; E. Mora;
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Department of Applied Mathematics and Computer Sciences, University of Cantabria, Avda. de los Castros s 39005 Santander, Spain;

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原文格式 PDF
正文语种 eng
中图分类机器辅助技术;
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4. Meteorological Image Descriptors [C] . J.L. Crespo, P. Bernardos, M.E. Zorrilla, International Conference on Computer Aided Systems Theory(EUROCAST 2005) . 2005

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Meteorological Image Descriptors

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