A Comparison of Numerically Modelled Iceberg Backscatter Signatures with Sentinel-1 C-Band Synthetic Aperture Radar Acquisitions
Use of machine learning to develop algorithms for distinguishing iceberg and vessel targets requires large validated data sets that are often costly, time consuming and, in some cases, inaccessible. Generating electromagnetic (EM) backscatter models of iceberg and ship targets can be a vital step in...
| Published in: | Canadian Journal of Remote Sensing |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-05-01
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| Online Access: | http://dx.doi.org/10.1080/07038992.2018.1495554 |
