Award Data

Many municipalities in the United States have begun to use impermeability measurements to incentivize storm water retention as part of the architectural and landscaping design process. These measurements are performed through analysis of high-resolution aerial photography and updated on an annual or semi-annual basis. The practice of using high resolution aerial or even satellite photography is pr ...

The amount of data collected from the suite of current and future sensors far surpasses the bandwidth of analysts to processes the data streams into actionable intelligence. This pixel to pupil ratio problem is a forcing function for developing robust algorithms which accurately find non-cooperative objects while minimizing the false alarm rate.  As exploitation algorithms are tasked with perform ...

Expansion of aquaculture production depends crucially on the development of technologies that are able to perform functions important in a fish farming facility, without human input. For instance, early detection of a disease or parasite outbreak is critical in intensive aquaculture settings. Parasites, such as Sea Lice in Salmonid aquaculture are responsible for large losses. Existing options for ...

Modern Artificial Intelligence (AI) solutions generally employ carefully-crafted Neural Networks (NNs) that require extensive human effort to perform detection, identification, and annotation on each image to create training datasets. AI tools are desired that are optimized for object identification and annotation across diverse families of image data, are reliable and robust, not dependent on e ...

Etegent proposes Automated Learning from Unsupervised Repositories of Data (ALURD). ALURD incorporates a trained detector to feed a semi-supervised discrimination apparatus that leverages state-of-the-art approaches.in semi-supervised learning (SSL).  The need for automated labelling of overhead data is obvious, less obvious is that these unlabelled images provide an opportunity to improve auton ...

Many people recognize how critical it is to understand our weather, climate, and environment. Educators already use NOAA data and models in working with students and their communities as part of their teaching and outreach. With the exponential growth in data, however, many of them struggle with accessing and managing that data. Evolving data formats and computing requirements make it very challen ...

"First responders are more frequently using Small Unmanned Aerial Systems (sUAS) to aid rapid response to various types of natural disasters. Platforms, however; are typically focused on small, specific areas of interest and resulting data is rarely shared in real time. Decision makers may have no access to this data, nor access to broad area Common Operating Pictures (COP) fusing real-time sUAS d ...

Coral transplantation is a primary management option for rehabilitation of degraded reefs. Stabilization (via adhesion, etc.) of transplants on existing reef or artificial substrates notably improves their survival rate. Improved underwater adhesives are needed for expedient and convenient stabilization of coral transplants with improved survival rate. A new hybrid organic-inorganic adhesive is pr ...

We propose to develop an efficient, fast, and low size, weight, power, and cost (SWaP-C) digitizer for use with fast  photodetectors. High-speed data converters are critical in building a fast-reliable photon detector in a small form factor. We propose to combine i) ultra-low power analog design techniques, ii) well-known adaptive ADC topologies, iii) signal coherence Digital Signal Processing ( ...

Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analysts’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsour ...