Abstract

The European Space Agency Sentinel-1 satellites provide good resolution all weather SAR images. We describe algorithms for detection and classification of ships, icebergs and other objects at sea. Sidelobes from strongly reflecting objects as large ships are suppressed for better determination of ship parameters. The resulting improved ship lengths and breadths are larger than the ground truth values known from Automatic Identification System (AIS) data due to the limited resolution in the processing of the SAR images as compared to previous analyses of Sentinel-2 optical images. The limited resolution in SAR imagery degrades spatial classification algorithms but it is found that the backscatter horizontal and vertical polarizations can be exploited to distinguish icebergs in the Arctic from large ships but not small boats or wakes.


Original document

The different versions of the original document can be found in:

https://doi.org/10.12716/1001.14.01.30,
https://backend.orbit.dtu.dk/ws/files/210264240/Ship_Iceberg_Detection_Classification_in_Sentinel_1_SAR_Images.pdf
https://backend.orbit.dtu.dk/ws/files/185174643/SARNAV.pdf
http://dx.doi.org/10.12716/1001.14.01.30
https://www.transnav.eu/Article_Ship-Iceberg_Detection_and_Classification_Heiselberg,53,1000.html,
https://academic.microsoft.com/#/detail/3038812562
Back to Top

Document information

Published on 01/01/2020

Volume 2020, 2020
DOI: 10.12716/1001.14.01.30
Licence: CC BY-NC-SA license

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?