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 proceedingConference contribution

4 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 languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1040-1043
Number of pages4
Volume2015-November
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium - Milan, Italy
Duration: 26 Jul 201531 Jul 2015
https://www2.securecms.com/IGARSS2015/Default.asp (Link to Conference Website )

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2015
CountryItaly
CityMilan
Period26/07/1531/07/15
Internet address

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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