Award Data

To automatically compute accurate three-dimensional (3D) models from sequences of two-dimensional (2D) handheld images or video, Stellar Science proposes to develop, demonstrate, and evaluate the MOCHI (Models Computed from Handheld Imagery) system. While MOCHI will leverage open source and prior structure from motion (SFM) components developed for the Navy and Air Force to estimate an initial mod ...

Enabled Intelligence proposes a Phase II program to research and trial various data conditioning and labeling processes and develop a recommended solution(s) for creating valid and reliable ground truth from NGA and open source data. The goal of the program is to provide NGA with deeper understanding of various labeling methods, processes, and tools and their impact on labeling efficiency and even ...

Lynne Gilfillan Associates (LGA) Phase I research allowed them to identify and refine a set of foundational constructs on which they propose to build an Integrated Agent Environment. This Phase II research effort will require them to design an integratedsemantic/contextual knowledge representation structure, integrate information retrieval functionality to extract conceptual content from resources ...

We propose to deliver a system prototype based on the Adaptive Storage Network (ASN) architecture developed in Phase 1 of the SBIR, in order to demonstrate that a fully-distributed self-organizing approach can meet the needs of scalable storage repositories for the NGA and other governmental and large-enterprise infrastructures. The goal of this project is to make data simply and transparently acc ...

On-going developmental programs have produced munitions systems which are capable of penetrating and functioning within hardened fixed ground targets. They are equipped with high explosive and fragmenting warheads to achieve target defeat but in the process produce unaccceptable target venting and agent dispersal. The need exists for a warhead payload which can effectively defeat chemical and bi ...

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 ...

Existing THz devices have not yet provided all the imaging functionalities required to fulfill non-destructive imaging and remote sensing applications. Most of the THz imaging and spectroscopy systems utilize single-pixel detectors, which results in a severe trade-off between the measurement time and field-of-view.   Lack of large-format (many-pixel) sensor arrays is one of the major hurdles for ...

To attack the challenge of object identification and annotation across diverse families of image data, Prometheus and Raytheon will implement a software toolkit based on our new mathematically–based AI tool. The AI input will be matrix coefficients resulting from the unique Prometheus-developed energy-spreading transform, PONS, the Prometheus Orthonormal Set. PONS is currently in use by both the ...

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 multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...