The algorithm uses object detection in SPOT display imagery to detect ships. The result is a GeoJSON file with polygons drawn around detected ships.
Ship detection can be used for maritime surveillance, port and harbor management, and fishing activity detection.
An input SPOT image of the Port of Rotterdam (Netherlands)
Detected ship polygons drawn on the input image
See more on the marketplace.
For optimal results, the algorithm must be used to detect ships larger than 26 m. You can use it to detect smaller ships, but the same level of performance isn’t guaranteed.
Scenarios represented in the training data:
- Different cloud coverage
- Different maritime conditions
The STAC item must be a supported data product:
- SPOT catalog: Display
The STAC item must be CNAM-compatible. Check that the STAC item has been added to storage in 2023 or later.
Required parameters
Input imagery
You need to specify the STAC items you want to apply the process to.
Output title
You need to specify the title of the output objects. This title will be assigned to the resulting STAC item and STAC collection.
Use the detection-ships-airbus name ID for the processing API.
A sample input payload for the process
JSON
{
"inputs": {
"title": "Processing imagery over Berlin",
"item": "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/23e4567-e89b-12d3-a456-426614174000"
}
}
| Parameter | Overview |
|---|---|
inputs.title | object / required The title of the output objects: STAC item and STAC collection. |
inputs.item | object / required The STAC item link in the following format: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id} |