Please wait a minute...


Remote Sensing Technology and Application
Dynamic Feature Extraction of Sea Ice in SAR Imagery
Liu Jiange1,2,Mu Dejun1
(1.Department of Automation,Northwestern Polytechnical University,Xi’an 710072,China;
2.Department of Systems Design Engineering,University of Waterloo,Waterloo N2L 3G1,Canada)
Download:  PDF (6022KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  The Marginal Ice Zone (MIZ) consists of different ice types,which makes it very dynamic.The dynamic features of sea ice in SAR imagery show as numerous curves in random orientations and scales.According to these curve features,the paper use middle scales coefficients of the curvelet transform which gives an optimal sparse representation of singularities along smooth curves at multi-scale and multi-direction to design a dynamic feature extraction method in SAR imagery.The feature is related to the mean and GLCM energy of curvelet coefficients magnitude and its neighborhood.The MIZ getting from the proposed feature has an obvious improvement of accuracy comparing with the MIZ getting from the SIC data.The results demonstrate that it is an effective way to extract dynamic feature of sea ice.It can be used as the first step of the detection of MIZ,also used as an effective parameter in sea ice analysis model and environment prediction model.
Key words:  SAR imagery      Marginal Ice Zone(MIZ)      Dynamic feature      Curvelet transform     
Received:  17 December 2016      Published:  16 March 2018
TP 79  
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
Articles by authors
Liu Jiange
Mu Dejun

Cite this article: 

Liu Jiange,Mu Dejun. Dynamic Feature Extraction of Sea Ice in SAR Imagery. Remote Sensing Technology and Application, 2018, 33(1): 55-60.

URL:     OR

No Suggested Reading articles found!