Sea ice segmentation using Tandem-X pursuit mono static and alternative bistatic modes

• Published in: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
• Main Authors: Yitayew, Temesgen Gebrie, Doulgeris, Anthony Paul, Eltoft, Torbjørn, Dierking, Wolfgang Fritz Otto, Brekke, Camilla, Rösel, Anja
• Format: Article in Journal/Newspaper
• Language: English
• Published: IEEE 2017
• Subjects: VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452; VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452; VDP::Technology: 500::Information and communication technology: 550::Other information technology: 559; VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559; Coherence; Image segmentation; Backscatter; Feature extraction; Synthetic aperture radar; Sea ice; Arctic
• Online Access: https://hdl.handle.net/10037/14542

Accepted manuscript version. Source at https://doi.org/10.1109/IGARSS.2017.8126964 In this paper we investigate interferometric pairs of SAR images acquired by Tandem-X with the monostatic pursuit and the alternative bistatic modes for sea ice segmentation. The individual SAR images are modelled as non-Gaussian, and from the modelled data different features are extracted, stacked together and clustered. The interferometric coherence is regarded as an additional feature and utilized for clustering. In addition to complementing the information extracted from the individual images, the interferometric coherence is found to be capable of discriminating between open water and sea ice, as well as between different ice types.