Cloud Motion Measurement From Radar Image Sequences

M. A. Abidi; R. C. Gonzalez

doi:10.1117/12.942644

25 January 1987 Cloud Motion Measurement From Radar Image Sequences

M. A. Abidi, R. C. Gonzalez

Proceedings Volume 0846, Digital Image Processing and Visual Communications Technologies in Meteorology; (1987) https://doi.org/10.1117/12.942644
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

The estimation of cloud motion is an active area of computer vision; it addresses the recovery of motion clues from a time-varying image sequence of a cloud cover, usually tracked by radar. Three major issues in this field are: (1)the choice of a measurement procedure and an area within the image where the measurement constraint is guaranteed to achieve minimum error, (2)the choice of a topological constraint and an area where this constraint is guaranteed to achieve minimum error, and (3)the identification of a procedure of coupling the two constraints mentioned above in order to obtain an optimal approximation to the velocity field. In this paper, we show that the retrieval of a reliable motion clue is closely related to the manner in which the measurement and topological constraints are coupled. An example using the gradient vector as a measurement, smoothness as a topological constraint, and the temporal gradient as a coupling factor is given. As shown when this approach is compared against a correspondence-based technique, the differential approach measures only a local average of the true motion. The performance of this differential technique and a correspondence-based technique are compared using a real radar image sequence.

Citation Download Citation

M. A. Abidi and R. C. Gonzalez "Cloud Motion Measurement From Radar Image Sequences", Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); https://doi.org/10.1117/12.942644

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