Award Data

Overhead imagery analysts employ computer-based software as Electronic Light Tables (ELTs), to perform detailed analysis of aerial images in search of elements of interest. Conventional display design for ELT software requires analysts to take their eyes away from the image they are analyzing to perform routine functions. This interaction overhead typically leads to losses in visual momentum and i ...

Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

At a high level, the primary technical objective of the proposed effort is to Identify, obtain, evaluate, and improve datasets; Investigate the use of Meta-Learning to improve the low-shot detection performance of the feed forward network;   Extend research in multi-branch multi-domain embedding networks and semantic layouts for low-shot detection in remote sensing imagery; and Develop and implem ...

Advances in location acquisition and remote sensing have resulted in explosive growth of spatial trajectory data, which capture the mobility of diverse entities. Intelligence analysts need technologies that can provide automated assistance regarding the detection, understanding, and sharing of salient, culturally-informed activities from this mover intelligence (MOVINT) data. Aptima and PatchPlus ...

Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

Technological advances in navigation and positioning, along with expanding wireless infrastructure and remote sensing technologies, have resulted in explosive growth of available trajectory data from a variety of moving objects, such as people, cars, ships, and animals. Trajectory data have numerous commercial applications, e.g., location-based services, travel forecasting, health monitoring, dise ...

The conditions encountered by hypersonic vehicles are complex due to the non-linear, strong interaction between the flow field environment and vehicle.  Successful modeling requires multi-physics capabilities that can properly take into account high-temperature gas dynamics, which includes excitation of internal energy modes, finite-rate gas chemistry, turbulent flow, and complex plasma physics, ...

In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...