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Ship Detection
Ships at sea Detection detects ships in SPOT images from the SPOT 6/7 Display Block.
Description
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:
- Catalog -> SPOT 6/7 Display -> Order and get the asset from storage of UP42
- In Projects workflows, Processing from Storage -> DIMAP GeoTIFF conversion -> Raster CRS Conversion (CRS: EPSG:3857) -> Raster Tiling -> Ship Detection
Data blocks:
- SPOT 6/7 Display (Streaming) -> Raster Tiling -> Shadow Detection
Note: SPOT Analytic with Pan-Sharpening (UP42) is currently not supported.
| Feature | Info |
|---|---|
| Input parameters | Tiled 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 format | GeoJSON with each detected ship as a specific polygon. |
| Training dataset | The algorithm has been tested on various images including difficult images (i.e. with clouds and waves). |
Performance
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.
Capabilities
Terms & Conditions
View the End User License Agreement conditions.