An object-based SAR image iceberg detection algorithm applied to the Amundsen Sea

REMOTE SENSING OF ENVIRONMENT

卷:189

Article

Mazur, A. K.^1,2  Wahlin, A. K.¹  Krezel, A.² 

[1] Univ Gothenburg, Dept Marine Sci, POB 460, S-40530 Gothenburg, Sweden

[2] Univ Gdansk, Inst Oceanog, Al Marszalka Pilsudskiego 46, PL-81836 Gdynia, Poland

关键词: ENVISAT ASAR;    Object-based image analysis;    Icebergs;    The Amundsen Sea;   

DOI  :  10.1016/j.rse.2016.11.013

来源: Elsevier

【 摘 要 】

An object-based method for automatic iceberg detection from Advanced Synthetic Aperture Radar (ASAR) images has been developed and applied in the Amundsen Sea, Antarctica. The automatic identification is based on brightness and spatial parameters of the ASAR images at five scale levels, and was verified with manual classification in four areas chosen to represent varying environmental conditions. The presented algorithm works comparatively well with images of the ocean in freezing temperatures and strong wind conditions, common in the Amundsen Sea. The detection rate was 96.2% which corresponds to 93.2% of the icebergs area, for all seasons. The algorithm generated 3.8% errors in the form of 'misses' and 7.0% of 'false alarms', mainly caused by the presence of ice floes. The method was applied on 432 radar images acquired in 2011 under different meteorological, oceanographic and sea ice conditions. As an output a map showing the probability of finding icebergs has been created. It shows that high probability coincides with depth contours and indicates a westward drift of the bergs throughout the whole region. (C) 2016 The Authors. Published by Elsevier Inc.

【 授权许可】

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