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气象:2015,41(6):771-777
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暖脊特征点提取及暖脊线自动绘制方法研究
(1.天津大学电气与自动化工程学院,天津 300072;2.天津市气象台,天津 300072)
Study on Methods of Warm Ridge Feature Extraction and Warm Ridge Line Automatic Drawing
(1.School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072;2.Tianjin Meteorological Observatory, Tianjin 300072)
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投稿时间:2014-08-14    修订日期:2015-01-15
中文摘要: 低空暖脊的出现意味着一种天气不稳定因素的形成,因此,基于温度场的暖脊线的正确识别对于天气预报具有重要意义。本文在分析山脊线算法用于提取暖脊线时暴露出的问题的基础上,提出一种纠偏算法,配合使用为反映暖脊线气象特点所构建的规则,提取到干扰较少的暖脊特征点;根据最小二乘法点拟合线的思想,提出一种光滑中轴算法,得到质量较高的暖脊线。实验表明,本文算法绘制的暖脊线与气象专家手工绘制的暖脊线吻合较高,击中率高达97%,未发现误识。
Abstract:The appearance of warm ridge in low attitude implies that an unstable weather factor is forming.Therefore, recognizing the warm ridge correctly based on temperature field data is important for weather forecasting. In view of the exposed problems when extracting the warm ridge lines using the ridge line algorithm, this paper proposes a section extreme value correction (SEVC) algorithm, by which candidate warm ridge feature points are extracted, and establishes rules based on weather characteristics to exclude non warm ridge feature points. According to the idea of least squares method used in fitting curve, this paper puts forward a kind of smooth medial axis fitting (SMAF) algorithm to get higher quality of warm ridge lines, which coincide with that weather forecasters manually draw. A large number of experiments show that the recognition rate is as high as 97% and mistaken recognition rate is zero.
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基金项目:公益性行业(气象)科研专项(GYHY201406004)资助
引用文本:
王萍,闫春遐,徐少朋,卢焕珍,2015.暖脊特征点提取及暖脊线自动绘制方法研究[J].气象,41(6):771-777.
WANG Ping,YAN Chunxia,XU Shaopeng,LU Huanzhen,2015.Study on Methods of Warm Ridge Feature Extraction and Warm Ridge Line Automatic Drawing[J].Meteor Mon,41(6):771-777.