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References in periodicals archive ?
This automated process achieves classification accuracy greater than 80% in the vicinity of the GSNW.
A manual analysis will then be carried out by MetOc personnel trained to use contextual cues (e.g., the previous OFA, visual cues in the SAR image that are commonly associated with SST fronts near the GSNW, surface weather analysis) to correct misclassifications and/or to check for potential SST front signatures not found by the edge detector.
To answer this question, the probability that an SST front signature exists in a RADARSAT-2 image of a region near the GSNW, at a time when cloud cover prevents front identification using satellite SST, must be determined.