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Ship Detection

Detects ships on SPOT and Pleiades imagery tiles of 768 x 768 pixels at Mercator Zoom 17.

Description

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

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.

Note: This block can be used with SPOT Streaming (OneAtlas) and Raster Tiling (UP42), SPOT Download (OneAtlas) with Pan-Sharpening (UP42) is currently not supported. The algorithm runs on 768px by 768px tiles.

FeatureInfo
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)
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).

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

Input Capabilities

raster
up42_standard
dtype
uint8
format
GTiff
resolution
1.5
tile_width
768
tile_height
768

Output Capabilities

vector
custom
object_type
ships
up42_standard
format
GeoJSON
geometry_type
Polygon

End User License Agreement

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