Conference Paper (published)

Iceberg Detection with L-Band ALOS-2 Data Using the Dual-POL Ratio Anomaly Detector

Details

Citation

Marino A (2018) Iceberg Detection with L-Band ALOS-2 Data Using the Dual-POL Ratio Anomaly Detector. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Symposium on Geoscience and Remote Sensing IGARSS. IGARSS 2018 International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22.07.2018-27.07.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/igarss.2018.8519206

Abstract
Icebergs represent a danger to navigation in cold waters. Detection and tracking of large icebergs using space-borne scatterometers, altimeters and synthetic aperture radar (SAR) systems have seen a large amount of work in the last decades. However, the identification of small icebergs is still challenging especially when these are embedded in sea ice. In this work, a recently proposed iceberg detector the intensity Dual-Pol Ratio Anomaly Detector (iDPolRAD) is tested using ALOS-2 L-band data. The detector is designed for dual-polarized incoherent SAR images, however in this work we want to investigate the loss of performance with respect to using coherent data. Therefore different versions of the iDPolRAD requiring quad-pol data are proposed here and tested. The ALOS-2 data were acquired on the East Coast of Greenland, where a large number of icebergs are visible in the images. The results show that different polarisations could bring different information and therefore the availability of dual-pol could improve the detection although a quad-pol algorithm will not be operational at the moment due to the limited size of the swath.

Keywords
SAR; polarimetry; iceberg detection; ALOS-2

StatusPublished
FundersThe Open University
Title of seriesIEEE International Symposium on Geoscience and Remote Sensing IGARSS
Publication date31/12/2018
Publication date online05/11/2018
URLhttp://hdl.handle.net/1893/28692
PublisherIEEE
Place of publicationPiscataway, NJ, USA
ISSN of series2153-7003
ISBN9781538671504
ConferenceIGARSS 2018 International Geoscience and Remote Sensing Symposium
Conference locationValencia, Spain
Dates

People (1)

Dr Armando Marino

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences

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