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.
|Number of pages||6|
|Publication status||Published - 2019|
|Event||13th International Conference on Marine Navigation and Safety of Sea Transportation - Gdynia, Poland|
Duration: 12 Jun 2019 → 14 Jun 2019
Conference number: 13
|Conference||13th International Conference on Marine Navigation and Safety of Sea Transportation|
|Period||12/06/2019 → 14/06/2019|
- Ship detection
- Ship lengths
Heiselberg, H. (2019). Ship-Iceberg Detection & Classification in Sentinel-1 SAR Images. Paper presented at 13th International Conference on Marine Navigation and Safety of Sea Transportation, Gdynia, Poland.