DEVELOPMENT OF CLOUD IMAGE VELOCIMETRY BASED ON STEREO VISION

Abstract

 A new wind velocimetry was proposed using clouds images based on stereo vision theory (Cloud Image Velocimetry : CIV). Cloud patterns taken by multiple ordinary digital cameras placed at different locations are processed. Three dimensional coordinates of cloud patterns in each image pair are to be reconstructed with stereo vision theory, and wind speed is calculated from their temporal displacement. CIV yielded wind velocity at cloud-bottom altitude. Wind direction by CIV corresponded with that estimated Himawari-8 satellite images. Wind speed by CIV was different from that obtained by radiosonde released Tateno, but this difference possibly reflecting the difference of observation time and location between CIV and the radiosonde.