Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 2, pp. 131-142
Automatic computation of sea surface velocities on a sequence of satellite images
A.I. Alexanin
, M.G. Alexanina
, A.Y. Karnatsky
Institute of Automation and Control Processes FEB RAS, Vladivostok, Russia
A new method for automatic computation of sea surface current velocities on a set of IR-images is proposed. The similarity of two image templates is estimated by maximum value of convolution of three parameter normalized: cross-correlation, dispersion, and brightness discrepancies of two templates. A new criterion (“a priori accuracy estimation”) is proposed for screening incorrect velocities. The criterion use has increased the reliability and accuracy of velocity computation. It leaded to reject a smoothing procedure used usually. The new method testing was based on a comparison of vectors computed automatically with ones calculated by expert. High accuracy of the method has been shown, and some problems of automatic sea surface velocity computation have been considered.
Keywords: автоматический расчет скоростей течений моря, прослеживание маркеров, спутниковые ИК-изображения, максимум кросс-корреляции, automatic computation of sea current velocities, feature tracing, satellite IR-imagery, maximum of cross-correlations
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