Author(s): Ilija Samardzija
Linked Author(s):
Keywords: No keywords
Abstract: Cross-correlation function can be used to estimate the sea ice drift velocity from a pair of sequential images of an ice surface. The approach is established in scientific literature and mostly used for calculating the velocity field of ice drift from satellite imagery. Traditionally, disadvantages of the approach are large computational requirements and inability to account for the rotational motion of the ice field. When used on a smaller spatial and temporal scale to estimate the global ice drift, inability to capture the rotational motion is not crucial since the assumption of translational motion of the ice field does not impair the estimate of the global ice drift. This paper presents an ice drift tracking algorithm that is based on cross-correlation between subsequent marine radar frames that captures ice features surrounding a ship. Computational requirements are not an issue in this use and few days of ice drift is calculated in matters of minutes. The algorithm can produce a real-time ice drift measurements that are valuable information in ice management operations. One potential usage of the results is shown where using the estimated ice drift velocity, the drift of the channels produced in ice management operations is estimated. The same cross-correlation approach can be implemented on camera images. An example of ice drift estimate using the camera images from Norstromsgrund lighthouse is given.
Year: 2018