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Ship Detection

Ships at sea Detection detects ships in SPOT images from the SPOT 6/7 Display Block.


Ships at sea Detection detects ships in SPOT images from the SPOT 6/7 Display.

Technical information

This algorithm is based on machine learning. It is a blended version from Airbus-specific research and the results from a Kaggle competition launched in 2018. The algorithm runs on 768px by 768px tiles.

Supported workflows

Data platform:

Data blocks:

Note: SPOT Analytic with Pan-Sharpening (UP42) is currently not supported.

Input parametersTiled imagery in GeoTIFF with a size of 768 pixels by 768 pixels. Expected ground resolution at 1.20 m. (i.e. WebMercator projection). CRS: EPSG:3857
Output formatGeoJSON with each detected ship as a specific polygon.
Training datasetThe algorithm has been tested on various images including difficult images (i.e. with clouds and waves).


It is considered to work very well for medium & large ships (>26m) at sea. For smaller ships, the results will depend significantly from the quality of the image and the complexity of the scene.

Use cases

Shipping traffic is growing fast. More ships increase the chances of infractions at sea like environmentally devastating ship accidents, piracy, illegal fishing, drug trafficking, and illegal cargo movement. This has compelled many organizations, from environmental protection agencies to insurance companies and national government authorities, to have a closer watch over the open seas. This algorithm associated with satellite images enables precise and fast monitoring.

More information

For more information about this processing block, please see the provider website.


To know more please check the block capabilities specifications.

Terms & conditions

View the End User License Agreement conditions.

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