WIT Press


Tracking Of Translated And Rotated Features Within Satellite Images Using A Tightly Coupled MIMD Computer

Price

Free (open access)

Paper DOI

10.2495/ASE930151

Volume

3

Pages

9

Published

1993

Size

978 kb

Author(s)

M.R. Saradjian, M. Hayes & L. Hayes

Abstract

A technique for establishing sea surface velocities in sequential satellite infrared images has been developed using a multiprocessor computer system. A consecutive pair of Sea Surface Temperature (SST) images is produced from satellite-derived data and brought into register. A Maximum Cross Correlation (MCC) approach is then used to determine the amount of sea surface feature movement over time. The amount of feature movement, and the time interval between images, determine the surface velocity. As the water patterns observed tend to exhibit rotational movement as well as translation, the MCC method has been extended to detect rotational motions. In general, the correlation coefficient is computed for all possible translations

Keywords