An Ice-Drift Estimation Algorithm Using Radar and Ship Motion Measurements

• Published in: IEEE Transactions on Geoscience and Remote Sensing
• Main Authors: Kjerstad, Øivind Kåre, Løset, Sveinung, Skjetne, Roger, Skarbø, Runa A.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
• Subjects: Marin kybernetikk; Marine cybernetics; Arktisk teknologi; Arctic Technology; Isforvaltning; Ice Management; Sjøis; Sea ice; VDP::Annen marin teknologi: 589; VDP::Other marine technology: 589; Arctic; Svalbard; Arktis*
• Online Access: http://hdl.handle.net/11250/2588105; https://doi.org/10.1109/TGRS.2017.2787996

This paper presents a novel automatic real-time remote sensing algorithm that uses radar images and global positioning satellite system measurements to estimate the ice-drift velocity vector in a region around a free-floating and potentially moving vessel. It is motivated by the low image frequency of satellite systems together with the inconvenience of deploying and retrieving ice trackers (beacons) on the ice. The algorithm combines radar image processing with two Kalman filters to produce the estimated local drift vector decoupled from the ship motion. The proposed design is verified using a full-scale data set from an ice management operation north of Svalbard in 2015. It is found that the performance of the algorithm is comparable with that of trackers on the ice. acceptedVersion © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.