Automated Processing of Remote Sensing Satellite Imagery using Machine Learning

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Sightline Innovation, Canada's longest standing Artificial Intelligence (AI) company, has built their business**around providing machine learning and computational intelligence strategies, platforms, and frameworks to**their customers. Sightline's Enterprise Infrastructure for Artificial Intelligence provides an integrated real-time**distributed AI product-as-a-service that can effectively be customized to any client's needs. Currently, Sightline**clients are interested in processing satellite images for a number of use cases including land subsidence**detection, predictive maintenance, civil infrastructure risk assessment, hydrology management, and precision**agriculture. Sightline's client base in this area is attributed to growing access to inexpensive storage, wider**access to satellite data, on-demand computing, and state of the art solutions. Sightline's solution pipeline**enables the diverse array of use cases to be addressed as a service.**As Sightline is actively working with multiple customers at various stages of development for satellite image**processing, two key client-specific technical steps must be addressed on a per-client basis: 1) construction of an**appropriate training set for supervised machine learning specific to the client's application, and 2) selection of**an appropriate neural network classifier that balances classification accuracy and robustness against**computational time/cost for the client's application. Literature reviews have indicated that machine learning**applied to these use cases is under active research and that there is a lack of comparative analysis among**available methods. The proposed research project will develop and implement a class of machine learning**algorithms capable of automating analysis of satellite images for numerous use cases. The tested classifiers will**be made available to Sightline's clients, allowing Sightline to grow their business by enabling them to continue**delivering technologically advanced solutions to client-driven problems.