Award Data

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

Low-temperature MBE grown GaAs (LT-GaAs) contains a high concentration of excess As which gives rise to ultra-fast carrier-trapping time and excellent radiation hardness. In as-grown layers most of this excess As is in the form of As(Ga) antisite defects, of which only ~1% are ionized. Thermal annealing upon overgrowth with a device structure or during device processing results in a decrease of ...

Overhead imagery analysts spend their time scouring aerial and satellite imagery looking for objects based on example images. Collectingexample imagery of our adversaries newest military hardware is often challenging. The only examples we have may be from open sourceintelligence at air shows or military parades or from limited clandestine collections. Often, only a small set of ground-based imager ...

The large volume of full motion video from unmanned aerial vehicles, along with other data from various sensors creates resource andengineering challenges in managing, processing and distributing that data. Law enforcement and intelligence work require videos in locationsfar from where they were recorded, and need multiple sensor streams to be synchronized for search, filtering, and transformation ...

The recent widespread use of overhead sensors, and their ability to provide continuous streams of imagery for intelligence, surveillance and reconnaissance (ISR) missions, has generated a critical need for high-fidelity, automated object detection systems. For intelligence analysts, searching large volumes of imagery with vast spatial and temporal extent can be extremely time consuming and tedious ...

Aerial or spaced-based imaging assets cannot continuously monitor a single location or site of interest for prolonged periods of time such as weeks, months, or years without significantly sacrificing surveillance of other locations. Current approaches for modeling patterns of life (PoL) at a location are not capable of incorporating sporadic data and do not gracefully model daily to monthly or ye ...

Persistent wide area sensor coverage enables unique intelligence analytic capabilities such as pattern-of-life detection, unsupervised pattern discovery, and anomaly detection. As these capabilities incorporate machine learning and artificial intelligence techniques, large datasets are necessary for training and validation. However, the lack of datasets with high fidelity dynamic targets and acto ...