Classification of sea-ice types in SAR imagery

Baraldi, A. and Parmiggiani, F. (2001) Classification of sea-ice types in SAR imagery. Il nuovo cimento C, 24 C (1). pp. 113-121. ISSN 1826-9885

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We present a supervised three-stage classification (labeling) scheme applied to SAR images of polar regions for detecting different sea-ice types. The three-stage labeling procedure consists of: 1) a speckle noise filtering stage, based on a sequence of contour detection, segmentation and filtering steps, which removes SAR speckle noise (and texture information as well) without losing spatial details;2) a second stage providing Bayesian, maximum-a-posteriori, hierarchical (coarse-tofine), adaptive (data-driven) and contextual labeling of piecewise constant intensity images featuring little useful texture information;and 3) an output stage providing a many-to-one relationship between second stage output categories (types or clusters) and desired output classes. Modules 1) and 2), which demonstrated their validity in several applications in the existing literature, are briefly recalled in the current paper. The proposed labeling scheme features some interesting functional properties when applied to sea-ice SAR images: it is easy to use, i.e. it requires minor user interaction, is robust to changes in input conditions and performs better than a noncontextual (per-pixel) classifier. Application results are presented and discussed for a pair of SAR images extracted, respectively, from an ERS-1 scene acquired on November 1992 over the Bellingshausen Sea (Antarctica) and from an ERS-2 scene of the East Greenland Sea acquired on March 1997 when a field experiment by the research vessel “Jan Mayen” was conducted in the same area.

Item Type: Article
Additional Information: Paper presented at the Workshop on Synthetic Aperture Radar (SAR), Florence, 25-26 February, 1998. Il titolo del contributo sul sit dell'editore è "On the mapping of sea-ice from SAR imagery"
Uncontrolled Keywords: Physics of the oceans ; Sea ice
Subjects: 500 Scienze naturali e Matematica > 550 Scienze della Terra > 551 Geologia, Idrologia, Meteorologia
Depositing User: Marina Spanti
Date Deposited: 10 Jun 2016 10:21
Last Modified: 10 Mar 2020 18:03

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