Real-time Hyperspectral Image Extraction from Plume Signature Databases based on Surrogate Modeling in Compressed States

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9101-16-M-0052
Agency Tracking Number: F161-030-0981
Amount: $149,986.38
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF161-030
Solicitation Number: 2016.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-13
Award End Date (Contract End Date): 2017-04-14
Small Business Information
167 Amsterdam Place, Madison, AL, 35758
DUNS: 079511331
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Yi Wang
 (256) 652-3253
 yi.wang@transnovatech.com
Business Contact
 Kapil Pant
Phone: (256) 874-1964
Email: kapil.pant@transnovatech.com
Research Institution
N/A
Abstract
The proposed effort aims to develop and demonstrate an innovative software tool combining surrogate modeling and image compression techniques for high-speed hyperspectral image extraction from plume signature databases. Salient aspects of the proposed solution are: (1) image compression and data-driven surrogate modeling operate in concert to capture the effects of various parameters (Mach number, angle of attack, altitude, etc.) on plume characteristics; (2) image compression, interpolation, and morphing/modification are fully coupled and performed concurrently in compressed images; (3) utilization of global statistical patterns across hyperspectral image sets, well-suited for database with sparsely placed nodes; and (4) a modular software environment to facilitate seamless integration into USAF-designated framework for sensors development and HWIL testing. In Phase I, key components, including a hyperspectral image compression module, a surrogate modeling module, a verification module, and an integrated software environment will be developed. Feasibility will be demonstrated via multiple case studies of USAF interest, in which synthetic and hyperspectral image sets at various flight parameters will be analyzed, and software performance (e.g., accuracy, speed, resource, and integrability) will be assessed. The Phase II effort will focus on capability extension, algorithm optimization, software integration, and extensive software validation and demonstration.

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

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