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One-dimensional Convolution Neural Network for Spectral Classification of Hyperspectral Data Collected from UAS Platforms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0337
Agency Tracking Number: FX203-CSO1-0591
Amount: $49,892.36
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF203-CSO1
Solicitation Number: X20.3
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-02-05
Award End Date (Contract End Date): 2021-05-08
Small Business Information
20 New England Business Center
Andover, MA 01810-1111
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Primrose
 (978) 738-8294
Business Contact
 B. David Green
Phone: (978) 689-0003
Research Institution

Physical Science Inc. (PSI) will adapt an existing, one-dimensional convolutional neural network (1D-CNN), for real-time automated identification of targets during SUAS-borne intelligence, surveillance, and reconnaissance (ISR) in contested environments based on data collected with long wave infrared (LWIR) hyperspectral imaging (HSI) sensors. Air Force stakeholders that stand to benefit from the proposed technology include the Tactical Off Board Sensing (TOBS) And Predator/Reaper Off-Board Sensing & Integrated Targeting (PROSIT) programs. The proposed technology is directly related to the C-SWaP EO/IR ISR Sensor Technology 20.3 Missions Focus Area. The Phase I program will demonstrate feasibility of the approach.

* Information listed above is at the time of submission. *

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