Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach

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Ren, Jinchang and Hwang, Byongjun and Murray, Paul and Sakhalkar, Soumitra and McCormack, Samuel; (2015) Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach. In: 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, ITA, pp. 1040-1043. ISBN 9781479979295 (https://doi.org/10.1109/IGARSS.2015.7325947)

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Abstract

Accurate sea-ice segmentation from satellite synthetic aperture radar (SAR) images plays an important role for understanding the interactions between sea-ice, ocean and atmosphere in the Arctic. Processing sea-ice SAR images are challenging due to poor spatial resolution and severe speckle noise. In this paper, we present a multi-stage method for the sea-ice SAR image segmentation, which includes edge-preserved filtering for pre-processing, k-means clustering for segmentation and conditional morphology filtering for post-processing. As such, the effect of noise has been suppressed and the under-segmented regions are successfully corrected.

ORCID iDs

Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Hwang, Byongjun, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Sakhalkar, Soumitra ORCID logoORCID: https://orcid.org/0000-0002-1375-3883 and McCormack, Samuel ORCID logoORCID: https://orcid.org/0000-0002-2059-0672;
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