A Depolarization Ratio Anomaly Detector to Identify Icebergs in Sea Ice Using Dual-Polarization SAR Images

• Published in: IEEE Transactions on Geoscience and Remote Sensing
• Main Authors: Marino, Armando, Dierking, Wolfgang, Wesche, Christine
• Other Authors: The Open University, The Arctic University of Norway, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, orcid:0000-0002-4531-3102
• Format: Article in Journal/Newspaper
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
• Subjects: Sea ice; Synthetic aperture radar; Detectors; Clutter; Scattering; Greenland
• Online Access: http://hdl.handle.net/1893/27531; https://doi.org/10.1109/tgrs.2016.2569450; http://dspace.stir.ac.uk/bitstream/1893/27531/1/IcebergDet_vORO.pdf

Icebergs represent hazards to maritime traffic and offshore operations. Satellite synthetic aperture radar (SAR) is very valuable for the observation of polar regions, and extensive work was already carried out on detection and tracking of large icebergs. However, the identification of small icebergs is still challenging especially when these are embedded in sea ice. In this paper, a new detector is proposed based on incoherent dual-polarization SAR images. The algorithm considers the limited extension of small icebergs, which are supposed to have a stronger cross-polarization and higher cross- over copolarization ratio compared to the surrounding sea or sea ice background. The new detector is tested with two satellite systems. First, RADARSAT-2 quad-polarimetric images are analyzed to evaluate the effects of high-resolution data. Subsequently, a more exhaustive analysis is carried out using dual-polarization ground-detected Sentinel-1a extra wide swath images acquired over the time span of two months. The test areas are in the east coast of Greenland, where several icebergs have been observed. A quantitative analysis and a comparison with a detector using only the cross-polarization channel are carried out, exploiting grounded icebergs as test targets. The proposed methodology improves the contrast between icebergs and sea ice clutter by up to 75 times. This returns an improved probability of detection.