Award Data

Vadum will develop a deep learning-based computer vision technique to automatically and accurately estimate the number of objects in a synthetic aperture radar (SAR) image. The technique learns on key features of SAR and optical images while being resilient to a wide range of SAR image resolutions, collection geometries and object poses. The analysis architecture is extensible to images collected ...

Nerve agents exert their toxic effect by binding to and inactivating enzyme acetylcholinesterase, a key enzymatic regulator of cholinergic neurotransmission. The binding becomes irreversible after a varying amount of time with nerve agents and this aging process limits the treatment window of oxime reactivators. To enhance the current antidote treatment of nerve agent autoinjectors, a pyridostigmi ...

NGA seeks a solution to provide highly accurate foundation data of buildings, similar features, and linear structures by conflating information from multiple images and contributed content. Our solution “AMCON Geo” (Automated Multi-source Conflation, Geospatial) is a framework for combining multiple sources together to improve overall relative and absolute accuracies of the data, and increase ...

The skin is the first line of defense against chemical warfare agents including nerve agents and toxic industrial chemicals, providing a possible barrier or delay to systemic distribution. Some chemicals also can act directly on the skin including the vesicants sulfur mustard and lewisite. Early and rapid skin decontamination is extremely important following exposure to CWAs and TICs because it de ...

Vadum will develop and demonstrate a software tool for rapid, accurate matching of time-series data to a previously collected database. The Clustered, Shingled Hashing of Random Projections (C-SHARP) tool maps a library of time series data to a compact database of fingerprints. The tool enables efficient queries for matches to a new time series by identifying fingerprint similarity. To support dif ...