Journal of Xidian University ›› 2018, Vol. 45 ›› Issue (6): 106-111.doi: 10.3969/j.issn.1001-2400.2018.06.018

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Novel sea ice edge detection method in SAR imagery

LIU Jiange;MU Dejun   

  1. (School of Automation, Northwestern Polytechnical Univ., Xi'an 710072, China)
  • Received:2018-01-23 Online:2018-12-20 Published:2018-12-20

Abstract: The paper proposes an ice edge detection method in synthetic aperture radar (SAR) images especially where sea ice concentration is low and might be underestimated by using passive microwave data. According to the multi scales and orientations of curve-like features in the marginal ice zone (MIZ) in SAR images, the edge detection method is chosen to unify the curve features of different backscatters and contrasts into edge information. Based on the difference of edge information richness between MIZ and open water, the curvelet-based multiscale strategy active contour is used to detect the ice edge. Experimental results show a significant increase in accuracy compared with the ice edge definition from passive microwave sea ice concentration.

Key words: synthetic aperture radar, ice edge, marginal ice zone, curvelet transform, active contour

CLC Number: 

  • TP753