- An algorithm that detects and classifies multiple aircraft types (e.g., carrier, fighter, helicopter, small aircraft, and others) in Pléiades imagery using wide-area object detection. Uses cases include aircraft management, airport monitoring, and environmental modelling.
- An algorithm that detects buildings in SPOT or Pléiades display imagery and returns a probability map. It identifies all pixels corresponding to buildings in satellite images. Building detection can be used for urban planning, construction, fire risk estimation, land use management, vegetation management, and powerline inspection.
- An algorithm that detects and quantifies cars in Pléiades imagery using wide-area object detection. It can be used to conduct pattern-of-life analyses and activity-based intelligence. Car detection can be used for traffic and parking management, retail analysis, and urban planning.
- An algorithm that normalizes the lighting to detect changes between two different SPOT or Pléiades images from the same collection. It returns a change map. Change detection can be used for vegetation management, urban planning, construction, fire risk estimation, land use management, forestry, and infrastructure monitoring.
- Coming back soon: currently not available. Provides cloud masks for Pléiades and SPOT imagery.
- Coming back soon: currently not available. Calculates NDVI, EVI, SAVI, NDWI.
- 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.
- An algorithm that detects changes in infrastructures such as roads, buildings, and earthworks across two SPOT images. Infrastructure change detection can be used for urban planning, property tax change detection, construction, fire risk estimation, land use management, and infrastructure monitoring.
- Coming back soon: currently not available. Computes land surface temperature over Sentinel-2 imagery.
- An algorithm that detects shadows in SPOT or Pléiades imagery and returns a probability map. It identifies all pixels corresponding to shadows in satellite images. Shadow detection can be used for urban planning, construction, solar power planning, economic development tracking, and land use analysis.
- An algorithm that detects ships in SPOT display imagery using object detection. The algorithm is best suited to detect medium and large ships larger than 26 m, but can also detect smaller ships in clear imagery. Ship detection can be used for maritime surveillance, port and harbor management, and fishing activity detection.
- An algorithm that detects oil storage tanks in SPOT imagery using object detection. Storage tank detection can be used for oil industry monitoring, infrastructure management, and construction monitoring.
- Coming back soon: currently not available. Automated Image Anomaly Detection System. Finds spectrographic anomalies by using temporal change detection.
- An algorithm that detects trees in SPOT or Pléiades imagery and returns a probability map and the height of detected trees. For each pixel, it returns the probability of it to be part of a tree, and computes its height based on the length of its adjacent shadow. Tree and tree height detection can be used for infrastructure vegetation risk monitoring, urban planning, and construction.
- An algorithm that detects trees in SPOT or Pléiades imagery and returns a probability map. Tree Detection identifies all pixels corresponding to trees in satellite images. Tree detection can be used for infrastructure vegetation risk monitoring, urban planning, construction, fire risk estimation, land management, powerline and trainline inspection, and forestry.
- An algorithm that detects and quantifies trucks in Pléiades imagery using wide area object detection. Truck detection can be used for supply chain and logistics management, traffic management, and urban planning.
- An algorithm that detects wind turbines in SPOT imagery using object detection. Wind turbine detection can be used for energy production monitoring, aircraft traffic regulations, infrastructure management, and construction monitoring.
- Coming back soon: currently not available. The multiresolution segmentation algorithm consecutively merges pixels. Thus it is a bottom-up segmentation algorithm based on a pairwise region merging technique. Multiresolution segmentation is an optimization procedure which, for a given number of image objects, minimizes the average heterogeneity and maximizes their respective homogeneity. This homogeneity criterion is defined as a combination of spectral homogeneity and shape homogeneity.