期刊文献+

利用边界特征自动识别台风云系 被引量:5

Auto-recognition of typhoon cloud based on boundary features
原文传递
导出
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.
出处 《遥感学报》 EI CSCD 北大核心 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)~~
关键词 台风识别 几何特性 Bezier直方图 曲率 类圆度 旋转 typhoon recognition geometric features Bezier histogram curvature circle-like rotation
  • 相关文献

参考文献4

二级参考文献23

  • 1董莉敏,候晓霞,郭建敏.穿甲弹飞行图象分割技术研究[J].信息与控制,1993,22(4):235-23. 被引量:1
  • 2苏畅,徐守义,王承训,王晔.地下管道图象的自动处理和识别[J].自动化学报,1996,22(5):629-633. 被引量:4
  • 3[11]Haralick R M, Shanmugan K, Dinsrein I. Textural Features for Image classification [J]. IEEE Trans Syst Man Cybern, 1973, 6:610-621.
  • 4[12]Marceau D J, Howaeth P J, Dubois J M, et al. Evaluation of the Gray- level Cooccurrence Matrix Method for Land-cover Classification Using SPOT Imagery[J]. IEEE Trans Geosci Rmote Sens. , 1990,28(4) :513- 518.
  • 5[13]Yen J C, Chang F Y, Chang S Y. A New Criterion for Automatic Multilevel Thresholding [ J ]. IEEE Transactions on Image Processing, 1995,4(3): 370-377.
  • 6[14]Pikaz A, Averbuch A. Digital Image Thresholding Based on Topological Stable State[J]. Pattern Recognition, 1996, 29(5): 829-843.
  • 7[15]Papamarkos N, Gatos B. A New Approach for Multilevel Threshold Selection[ J]. CVGIP : Graphic Models and Image Processing, 1994,56(3): 357-370.
  • 8[16]Huang L K, Mao J, Wang J. Image Thresholding by Minimizing the Measure of Fuzziness [J]. Pattern Recognition, 1995,28( 1 ): 41-51.
  • 9[17]Pun T. Entopic Thresholding: A New Approach [J]. Computer Version, Graphics, and Image Processing, 1981,16(2) :210-239.
  • 10王耀生,气象,1994年,20卷,6期

共引文献65

同被引文献75

引证文献5

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部