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

• Published in: Remote Sensing
• Main Authors: Soldal, Ingri Halland, Dierking, Wolfgang, Korosov, Anton, Marino, Armando
• Other Authors: The Research Council of Norway, The Arctic University of Norway, Nansen Environmental Research Centre (India) Ltd, Biological and Environmental Sciences, orcid:0000-0002-3601-1161, orcid:0000-0002-4531-3102
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: iceberg detection; CFAR; iDPolRAD; SAR; optical images; Arctic; Barents Sea; The Blob; Iceberg*; Sea ice
• Online Access: http://hdl.handle.net/1893/29328; https://doi.org/10.3390/rs11070806; http://dspace.stir.ac.uk/bitstream/1893/29328/1/remotesensing-11-00806-v2.pdf

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 ...