Award Data

Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

ABSTRACT: We propose here a robust production-level high-order mesh generation software for complex geometries. High order accurate numerical methods are becoming increasingly popular in the present time and have demonstrated a great measure of success in efficient error-controlled simulations for a wide variety of important problems. A curved geometry and mesh generation system is essential in m ...

In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...

ABSTRACT: In this proposal, a team comprising ParaSim Inc. and the University of Utah will examine the feasibility of generating curved high-order meshes from hybrid linear meshes while retaining a given boundary geometry. Specifically, a preliminary design of a software package for creating high-order (up to 4th order and higher) hybrid-element meshes for complex geometries will be developed. S ...

ExoAnalytic Solutions, teamed with Texas A&M University, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in n...

Experimental data from a number of DoD supported research programs have indicated that electrical systems capable of producing highly repetitive bursts of high voltage, fast risetime pulses are a critical enabling technology for applications tied to nonequilibrium physical processes, such as combustion, boundary layer flow, and the generation of high power EM waves. Recognizing the important role ...

ABSTRACT: Our main objective in this project is to propose a novel Structured Sparse Priors for Target Recognition (SSPTR) system and to demonstrate that discriminative applications such as data clustering or target detection, tracking, and classification can be solved effectively and directly on the compressed measurement domain without the need to recover the original data. Our proposed sparse-r ...

Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...

ABSTRACT: In this effort, Freedom Photonics will develop a high-sensitivity high-resolution coherent imaging system based on a Si avalanche photodiode (APD) array and corresponding bias and read-out electronics. This will be a monolithic APD and ROIC (readout-integrated-circuit) focal plane array (FPA) system. We start from a proven high-performance CMOS electronics backplane and build the photon ...