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Article

Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images

by
Ingri Halland Soldal
1,2,*,
Wolfgang Dierking
2,3,
Anton Korosov
1 and
Armando Marino
4
1
Nansen Environmental and Remote Sensing Center, Thormøhlens Gate 47, N-5006 Bergen, Norway
2
Center for Integrated Remote Sensing and Forecasting for Arctic Operations, Department of Physics and Technology, UiT—The Arctic University of Norway, 9019 Tromsø, Norway
3
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bussestr. 24, 27570 Bremerhaven, Germany
4
Department of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(7), 806; https://doi.org/10.3390/rs11070806
Submission received: 14 March 2019 / Revised: 29 March 2019 / Accepted: 31 March 2019 / Published: 3 April 2019

Abstract

Automatic detection of icebergs in satellite images is regarded a useful tool to provide information necessary for safety in Arctic shipping or operations over large ocean areas in near-real time. In this work, we investigated the feasibility of automatic iceberg detection in Sentinel-1 Extra Wide Swath (EWS) SAR images which follow the preferred image mode in operational ice charting. As test region, we selected the Barents Sea where the size of many icebergs is on the order of the spatial resolution of the EWS-mode. We tested a new approach for a detection scheme. It is based on a combination of a filter for enhancing the contrast between icebergs and background, subsequent blob detection, and final application of a Constant False Alarm Rate (CFAR) algorithm. The filter relies mainly on the HV-polarized intensity which often reveals a larger difference between icebergs and sea ice or open water. The blob detector identifies locations of potential icebergs and thus shortens computation time. The final detection is performed on the identified blobs using the CFAR algorithm. About 2000 icebergs captured in fast ice were visually identified in Sentinel-2 Multi Spectral Imager (MSI) data and exploited for an assessment of the detection scheme performance using confusion matrices. For our performance tests, we used four Sentinel-1 EWS images. For judging the effect of spatial resolution, we carried out an additional test with one Sentinel-1 Interferometric Wide Swath (IWS) mode image. Our results show that only 8–22 percent of the icebergs could be detected in the EWS images, and over 90 percent of all detections were false alarms. In IWS mode, the number of correctly identified icebergs increased to 38 percent. However, we obtained a larger number of false alarms in the IWS image than in the corresponding EWS image. We identified two problems for iceberg detection: 1) with the given frequency–polarization combination, not all icebergs are strong scatterers at HV-polarization, and (2) icebergs and deformation structures present on fast ice can often not be distinguished since both may reveal equally strong responses at HV-polarization.
Keywords: iceberg detection; CFAR; iDPolRAD; SAR; optical images iceberg detection; CFAR; iDPolRAD; SAR; optical images
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MDPI and ACS Style

Soldal, I.H.; Dierking, W.; Korosov, A.; Marino, A. Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sens. 2019, 11, 806. https://doi.org/10.3390/rs11070806

AMA Style

Soldal IH, Dierking W, Korosov A, Marino A. Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing. 2019; 11(7):806. https://doi.org/10.3390/rs11070806

Chicago/Turabian Style

Soldal, Ingri Halland, Wolfgang Dierking, Anton Korosov, and Armando Marino. 2019. "Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images" Remote Sensing 11, no. 7: 806. https://doi.org/10.3390/rs11070806

APA Style

Soldal, I. H., Dierking, W., Korosov, A., & Marino, A. (2019). Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing, 11(7), 806. https://doi.org/10.3390/rs11070806

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