A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade
Author:
Affiliation:
1. Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada
Funder
Canada First Research Excellence Fund
Ocean Frontier Institute
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09842316.pdf?arnumber=9842316
Reference165 articles.
1. Sea Ice Image Classification Based on Heterogeneous Data Fusion and Deep Learning
2. PCA-based sea-ice image fusion of optical data by HIS transform and SAR data by wavelet transform
3. Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform
4. A new Likelihood Ratio for supervised classification of fully polarimetric SAR data: An application for sea ice type mapping
5. A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery
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