PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts
Tomaz Logar, Joseph Aylett-Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel Luengo-Oroz
Abstract
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must be done accurately and in a timely manner to provide operational support. We present PulseSatellite, a collaborative satellite image analysis tool which leverages neural network models that can be retrained on-the fly and adapted to specific humanitarian contexts and geographies. We present two case studies, in mapping shelters and floods respectively, that illustrate the capabilities of PulseSatellite.
Topics & Concepts
Image (mathematics)Satellite imageComputer scienceSatelliteContext (archaeology)Natural disasterHumanitarian aidArtificial intelligenceSatellite imageryComputer visionRemote sensingGeographyEngineeringPolitical scienceLawArchaeologyAerospace engineeringMeteorologyAnomaly Detection Techniques and ApplicationsCOVID-19 diagnosis using AI