This article aims to discuss the strike two-dimensional wind vector on geostationary satellite imageries. The magnitude and direction of the wind vector are decided by the moving speed of the clouds. First, based on the features of the cloud map, we extract the characteristics of clouds and establish matching model for the clouds image. Maximum correlation coefficient between the target modules and tracking module is obtained by using infrared brightness temperature cross-correlation coefficient method. Then, the beginning and end of the wind vector can be ascertained. Using the spherical triangles of the law of cosines, we determine the magnitude and direction of the wind vector.
Cite this paper
T. Lou, L. Lin and N. Zhan, "Discussion Measurement Models and Algorithms of the Wind Vector Field Based on Satellite Images," Applied Mathematics, Vol. 4 No. 8, 2013, pp. 122-126. doi: 10.4236/am.2013.48A017.
 T. Izawa and T. Fujita, “Relationship between Winds and Cloud Velocities Determined from Pictures Obtained by the ESSA 3, ESSA 5 and AST-I Satellites.” North-Hol land Publishing Co., Space Research IX, Amsterdam, 1969, pp. 571-579.
 L. F. Hubert and L. F. Whitney, “Wind Estimation from Geostationary-Satellite Picture,” Monthly Weather Re view, Vol. 99, No. 9, 1971, pp. 665-672.
 R. M. Endlich, D. E. Wolf, D. J. Hall and A. E. Brain, “Use of a Pattern Recognition Technique for Determining Cloud Motions from Sequences of Satellite Photographs,” Journal of Applied Meteorology, Vol. 10, No. 1, 1971, pp. 105-117.
 D. E. Wolf, D. J. Hall and R. M. Endlich, “Experiments in Automatic Cloud Tracking Using SMS-GOES Data,” Journal of Applied Meteorology, Vol. 16, No. 11, 1977, pp. 1219-1230.
 J. A. Leese, C. S. Novak and B. B. Clark, “An Automated Technique for Obtaining Cloud Motion from Geosyn chronous Satellite Data Using Cross Correlation,” Journal of Applied Meteorology, Vol. 10, No. 1, 1971, pp. 118-132.
 E. A. Smith, “The McIDAS System,” IEEE Transactions on Geoscience Electronics, Vol. 13, No. 3, 1975, pp. 123-136.
 Q. S. Zhang, “Method of Static Meteorological Tatellite Cloud Image Landmark Navigation,” China Academic Journal Electronic Publishing House, Beijing, 1984.
 G. H. Wang, B. Chen and W. P. He, “Research of Longi tude and Latitude of AVHRR 2048 Based on Polar Coor dinate Transformation,” Journal of Qingdao University, Vol. 16, No. 3, 2003, pp. 45-48.
 Z. Ni, L. Liang AND L. Ling, “Interconverting Models of Gray Matrix and Geographic Coordinates Based on Space Analytic Geometry,” Applied Mathematics, Vol. 4, No. 1, 2013, pp. 46-51.
 Y. B. Li, Y. X. Li and J. Q. Qu, “A Method of Extracting and Representing Morphological Features of Satellite Cloud Images,” Journal of Nanjing Institute of Meteorol ogy, Vol. 29, No. 5, 2006, pp. 682-687.
 H. Li, Y. Wang and F. Y. Liao, “Obtaining the Mean Scale of Cloud Agglomerate by Correlation Analytical Method from Infrared Satellite Cloud Picture,” Scientia Meteorologica Sinica, Vol. 23, No. 3, 2003, pp. 339-345.
 Z. H. Wang, D. Z. Tang and D. S. Fu, “Ananalytical and Experimental Comparision among the Pattern-Recogni tion Paramenters in Image Cross-Correlation Analysis,” Scientia Meteorologica Sinica, Vol. 12, No. 1, 1992, pp. 72-79.
 X. J. Zhou and S. D. Chu, “Formula of Spherical Triangle and Its Application,” Journal of Zhejiang International Maritime College, Vol. 4, No. 1, 2008, pp. 59-63.