Award Data

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

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 ...

Recent advances in LiDAR, detector, and airborne systems technology have opened the door to small, high-performance, and significantly lower-cost alternatives over currently deployed airborne LiDAR imaging systems. CSLabs’ proposed initiative leverages modeling and simulation (M&S) to evaluate the efficacy of new approaches with the potential to disrupt the existing LiDAR imaging paradigm. Where ...

In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...

TECHNICAL ABSTRACT: NOAA is pursuing sustained, in-situ sensing technology to support improved atmospheric modeling of the upper ocean boundary environment, including the air-sea interface, during turbulent storms. Improved atmospheric modeling in this critical region will lead to better forecasting and support NOAA's mandate to protect property and save lives. Small, unmanned aircraft, equipped w ...

The gray whale migration generates many hours of video that must be examined carefully to identify passing whales and get an accurate count of their numbers. Unfortunately, humans lack the necessary attention span. To solve this problem, a detector will be developed that can process hours of video, detecting whale blows while minimizing false positives and negatives. With an accurate record of ...

Advances in location-acquisition and mobile computing techniques have generated massive spatiotemporal trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Moreover, recent research has tabbed learning of how to automatically explain and anticipate both the observable and abstract trajectories as one of the likely keys to building t ...

Fog and smog reduce visibility at sea, greatly impacting ship navigation and safety. Low visibility marine conditions decrease speed and safety of commercial fleets and increase costs through poor fuel load planning. The COVID-19 pandemic underscored the importance of maritime operations to the supply chain; therefore, decreasing associated cost and risk are of the utmost importance. Applied Ocean ...

McQ will develop a complete conceptual design for a Buoy Guard System (BGS). This system will detect the presence of intruders at and on the buoy. It will initiate deterrent actions to persuade and force the intruders away from the buoy. It will also collect imagery and other data about the intruders and about their activities associated with the buoy. This data, along with the basic warning w ...

Areté Associates proposes the Coastal Eyes, a multi-mission sensor system to respond to NOAA’s core mission objectives for coastal emergency management measurements to map land and surface water topography over coastal, waterways and fresh water regions; surface (fresh and oceans) currents, debris detections and storm surges. Areté will develop a responsive, cost-effective sensor solution, whi ...