Award Data

ABSTRACT: The work proposed here will apply an extensive suite of tools and technologies developed by SDL for automatic target recognition (ATR) using multi-mode LADAR data to aid analysts to exploit multi-mode LADAR data for combat ID. SDL has teamed with experts in Cognitive Task Analysis to gain understanding of the challenges of this domain and the perceptual and cognitive needs of the domain ...

The bandwidth of current and future image analysts is insufficient to ingest the vast quantity of data generated by staring sensing platforms. Because of this, signature exploitation algorithms need to play a role in the data processing chain to cue analysts to specific regions of interest within the imagery. For systems which utilize exploitation algorithms, there is a need to understand the ab ...

Using an information theoretic Global Image Quality Equation(GIQE), we map image formation parameters to National Image Interpretability Rating Scale(NIIRS) levels. These NIIRS levels are also projected onto PID derived from analysts and signature exploitation algorithms for various target sets. Imagery is generated randomly using a combination of truthed clutter background with measured and synth ...

A new genre of sensing technology is being employed to develop reliable, low cost, pressure sensors that are able to make measurements at locations in aircraft turbine engines, such as P4, where it has not previously been possible to do so.

This project will develop a robust, reliable and low cost networked sensor capability for advanced turbine engines and other applications. This system will enable pressure, temperature, vibration and strain to be measured in extremely harsh environments such as turbine engine combustors, enabling improvements in current control and monitoring capability to be achieved. In addition, the system will ...

ABSTRACT: The research proposed by the Etegent team will bring to bear our automated/assisted target recognition, data visualization and processing algorithm acceleration capability on the data-overload problem experienced in the ISR community within a rigorous, cognitive framework. We will utilize a new hyperspectral collection and exploitation program-of-record as a case study to research the c ...

ABSTRACT: The US Air Force is continuously challenged with developing capabilities to quickly and effectively assess damage inflicted on aircraft during routine training, combat, and maintenance activities. Demanding operational tempos require near real-time assessment of the aircraft"s operational status. End-of-day and end-of-week inspections are utilized to log new damages and defects on the ...

ABSTRACT: This work addresses the feasibility of NCTI in a dynamic urban environment with moving targets to improve track fidelity through challenging scenarios. Unlike many previous NCTI efforts, this classification will not depend on a vast database of signature templates but previous measurements. The research will use crossrange scale invariant features to identify the vehicles due to the l ...

ABSTRACT: While ODM is a reliable detection method for faulty gears/bearings, it cannot determine which component is damaged. Vibration data can isolate the faulty component based on expected frequency content; however, vibration measurements of turbine engine main bearings are generally too poor to do this reliably. Etegent's innovative sensor design addresses this issue. BENEFIT: Vastl ...

The objective of this work is to develop a simple digital camera based system that will allow for damage location to be accurately identified and then automatically transferred to a CAD model of a plane. This replaces a current process that consists of manually capturing damage location on a piece of clear Mylar, taking the Mylar to a workstation and then manually transferring the location to a CA ...