Award Data

Physical Sciences Inc. (PSI) proposes to develop a PCS-Enabled Unattended Radiation Detection and Attribution System (PURDAS) that will be able to detect, identify, and attribute radiological sources to specific source carriers or conveyances. The PURDAS will include a COTS gamma and neutron detection capability as well as a visible camera, onboard processing, and wireless radios. PURDAS units wil ...

Recent terrorist actions, particularly the delivery of anthrax via the US Postal Service, have triggered an urgent need for an early warning system for disease outbreaks due to bioterrorism. In response, we have developed, under a Phase I SBIR effort, a Bayesian Belief Network (BN) approach for Automated Link Analysis for Data-mining of Distributed INformation (ALADDIN) for early outbreak detectio ...

Dynamics Technology, Inc. will build on the success of its automated anomaly detection processor (AADP) and develop a comprehensive system of medical surveillance and alerting for early warning of emerging infection's outbreaks and biological weapons attack. The AADP will use advanced signal processing technology-neural net clustering, dynamic change point detection, coupled with Self Organizing M ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...

Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...

To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...