Generative Modeling of Multispectral Satellite Imagery

To address the challenge DTRA faces in identifying rare objects of interest to defeat improvised threat networks using multispectral imagery, small business ARiA and research institution Michigan Technological University (MTU) will develop and demonstrate the feasibility of the Generative Augmentation Process (GAP). The Phase I effort will (1) conduct a proof-of-concept study for GAP by developing and characterizing with quantitative metrics the performance of processes and algorithms to perform generative modeling of multispectral imagery across IR bands; (2) demonstrate that GAP can feasibly meet DTRA needs for the mission of defeating improvised threat networks and; (3) establish through Phase II planning that GAP can be developed into a useful product for DTRA and DoD. The Phase II development plan will address the reduction of technical risk based on assessment of the maturity of metrics and measures developed in Phase I and will provide guidance for risk-reducing activities conducted during Phase II.