Interfacing topological data analysis (TDA) with AI/ML for multimodal data fusion and automatic target recognition (ATR)

Paul T. Schrader

doi:10.1117/12.3009160

7 June 2024 Interfacing topological data analysis (TDA) with AI/ML for multimodal data fusion and automatic target recognition (ATR)

Paul T. Schrader

Author Affiliations +

Proceedings Volume 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII; 130570B (2024) https://doi.org/10.1117/12.3009160
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

DoD agencies produces a deluge of heterogeneous data from arrays of multimodal sensor sources. Ideally, these collects contribute to global and local situational awareness supporting decision speed. The effective management, orchestration, and interpretation of this data, within ever-increasing adversarial deception capabilities, for (near) real-time actionable processes has obscured resulting in imminent costs and loss of life. A key factor contributing to these mission needs include the lack of exploitation over degree of freedom spaces that upstream multimodal sensor data and their fused manifolds possess. Within these structures are rich, alternative sources of mathematically rigorous organization and data fusion techniques where a paradigm shift in local or global SA could be instantiated. This research expands upon and validates a TDA AI/ML network design (U.S. Patent Pending No. 63/499,338) presented in the 2023 SPIE DCS conference. Modified custom approaches, involving the data fusion of its three modalities (specifically acoustic, electro-optical, and infrared) and testing results for predictive automatic target recognition are presented along with several mathematical generalizations and clustering capacities.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Paul T. Schrader "Interfacing topological data analysis (TDA) with AI/ML for multimodal data fusion and automatic target recognition (ATR)", Proc. SPIE 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, 130570B (7 June 2024); https://doi.org/10.1117/12.3009160

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