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Most icebergs present in northern latitudes originate from western Greenland glaciers, from where they drift into Baffin Bay,circulating north along Greenland coast and south along Canadian coast. Some of them drift more southwards up to Newfoundland,where they frequently cross shipping routes. Furthermore, the Arctic summer sea ice coverage significantly decreased over the lastthree decades. This has attracted numerous attentions from maritime end-users. To keep Arctic shipping routes safe, the monitoringof sea ice and icebergs is crucial. For this purpose, satellite-based Synthetic Aperture Radar (SAR) is well suited. Equipped with anactive radar antenna, SAR satellites provide image data of the ocean and frozen waters independent of weather conditions, cloudcover or absence of daylight. In this paper, we present a processor for sea ice classification and (subsequent) iceberg detection basedon TerraSAR-X imagery. In the classification step, texture features are extracted from the images and fed into a neural network,indicating areas of low sea ice concentration. Then, an adapted Constant False Alarm Rate (CFAR) detector is executed in order todetect icebergs. In the end, sea ice boundary and iceberg positions are output. Our experiments deal with HH polarized TerraSAR-Ximages taken in spring season in the Baffin Bay off the western Greenland coast, where both, sea ice and icebergs are present. Ourresults exemplify how a comprehensive ice processor with complementary information can be set up for near real time (NRT)service in ice infested waters

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

NAVIGATION ASSISTANCE FOR ICE-INFESTED WATERS THROUGH AUTOMATIC ICEBERG DETECTION AND ICE CLASSIFICATION BASED ON TERRASAR-X IMAGERY