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Infrastructure change detection (Pléiades)
Description
An algorithm that detects changes in infrastructures such as roads, buildings, and earthworks across two Pléiades images. Infrastructure change detection can be used for urban planning, construction, fire risk estimation, land use management, defense, and infrastructure monitoring.
Technical information
| Source | Pléiades tasking or catalog collections |
| Compatibility | - The STAC item should be a Pléiades image of the display radiometric processing level - The STAC item should have been added to storage in 2023 or later - The geometries of the input STAC items must overlap by at least 30% |
| Required parameters | - Console: If your chosen input data meets the above specifications you will be able to run your job - API: You will need to input an Output title and the Input data |
| Output data format | GeoJSON file: with polygons drawn around the detected changes |
| Output | The result will be added to your account as a STAC item in a new STAC collection. You can retrieve the resulting data in one of the following ways: - Open the console, go to Data management → Jobs - Retrieve the results via the API |
Algorithm performance and training data
The algorithm has been qualified on a large set of data encompassing different types of landscapes worldwide by Airbus R&D and operational team. Please note that this algorithm was optimized for a high recall score. Therefore, a manual QA process is required to filter out irrelevant predictions. For optimal results, the algorithm should be applied to imagery from the same season, without snow, and with low off-nadir angles in dense urban areas with tall buildings.
Further information
For more information, please visit the technical documentation.