Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.


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

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, Piscataway, NJ., pp. 1040-1043. ISBN 9781479979295 (In Press)

Text (Ren-etal-IEEE-IGRSS-2015-Effective-SAR-sea-lice-image-segmentation-and-touch-floe-separation)
Ren_etal_IEEE_IGRSS_2015_Effective_SAR_sea_lice_image_segmentation_and_touch_floe_separation.pdf - Accepted Author Manuscript

Download (2MB) | Preview


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.