利用边界特征自动识别台风云系  

Auto-recognition of typhoon cloud based on boundary features

作　　者：鲁娟[1] 张长江[1,2,3] 张翔[1] 杨波[1] 端木春江[1] 

机构地区：[1]浙江师范大学数理与信息工程学院,浙江金华321004 [2]中国科学院遥感应用研究所/北京师范大学遥感科学国家重点实验室,北京100101 [3]中国气象科学研究院灾害天气国家重点实验室,北京100081

出　　处：《遥感学报》2010年第5期990-1003,共14页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:40805048);浙江省自然科学基金(编号:Y506203);中国气象局上海台风研究所台风研究基金(编号:2008ST01);中国气象科学研究院灾害天气国家重点实验室开放基金(编号:2008LASW-B03)~~

摘　　要：基于台风无论是在生成期、成熟期,还是在消亡期,都具有螺旋性的特征,非台风云系无此特征,充分挖掘云系边界特点,统计出单幅云图中各云系边界的旋转程度。运用Bezier直方图曲率曲线两次确定分割阈值,迭代分割卫星云图,结合台风的旋转与面积、形状等几何特性,识别卫星云图中的台风云系。实验表明该方法对台风云系有很好的识别率。Typhoon has different characteristics, such as texture, shape, and area, in different development stages. We could not automatically recognize the typhoon clouds in all stages based on these features. During different development stages, ty-phoon all has helicity and non-typhoon has no helicity. Based on this, we extract boundary information of clouds and statistics of the rotation degree of boundary clouds in single satellite image. In this paper, we use curvature curve of Bezier histogram to ob-tain two segmentation thresholds, iteratively segment the satellite image, and combine typhoon’s geometric features, such as ro-tation, area and shape to recognize the typhoon. Experimental results show that the typhoon can be recognized effectively in all different development stages.

关 键 词：台风识别 几何特性 Bezier直方图 曲率 类圆度 旋转 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]