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

Jinchang Ren; Byongjun Hwang; Paul Murray; Soumitra Sakhalkar; Samuel McCormack

doi:10.1109/IGARSS.2015.7325947

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

Jinchang Ren, Byongjun Hwang, Paul Murray, Soumitra Sakhalkar, Samuel McCormack

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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 preprocessing, 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.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1040-1043
Number of pages	4
Volume	2015-November
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7325947
Publication status	Published - 10 Nov 2015
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015 https://www2.securecms.com/IGARSS2015/Default.asp (Link to Conference Website )

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2015
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15
Internet address	https://www2.securecms.com/IGARSS2015/Default.asp (Link to Conference Website )

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IGARSS.2015.7325947

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Ren, J., Hwang, B., Murray, P., Sakhalkar, S., & McCormack, S. (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, IGARSS 2015 - Proceedings (Vol. 2015-November, pp. 1040-1043). [7325947] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7325947

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

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 preprocessing, 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.",

keywords = "conditional morphology filtering, edge-preserved filtering, k-means clustering, remote sensing, satellite synthetic aperture radar, Sea ice image segmentation",

author = "Jinchang Ren and Byongjun Hwang and Paul Murray and Soumitra Sakhalkar and Samuel McCormack",

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booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",

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note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",

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Ren, J, Hwang, B, Murray, P, Sakhalkar, S & McCormack, S 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, IGARSS 2015 - Proceedings. vol. 2015-November, 7325947, Institute of Electrical and Electronics Engineers Inc., pp. 1040-1043, IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7325947

Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach. / Ren, Jinchang; Hwang, Byongjun; Murray, Paul et al.

2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 1040-1043 7325947.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach

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AU - Hwang, Byongjun

AU - Murray, Paul

AU - Sakhalkar, Soumitra

AU - McCormack, Samuel

PY - 2015/11/10

Y1 - 2015/11/10

N2 - 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 preprocessing, 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.

AB - 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 preprocessing, 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.

KW - conditional morphology filtering

KW - edge-preserved filtering

KW - k-means clustering

KW - remote sensing

KW - satellite synthetic aperture radar

KW - Sea ice image segmentation

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M3 - Conference contribution

AN - SCOPUS:84962606517

VL - 2015-November

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EP - 1043

BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Ren J, Hwang B, Murray P, Sakhalkar S, McCormack S. 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, IGARSS 2015 - Proceedings. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1040-1043. 7325947 doi: 10.1109/IGARSS.2015.7325947

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

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