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AMA's core strength is providing integrated solutions, combining software design, hardware design, and an innovative mindset to complex problems.


Aerodynamic and Simulation Software

AMA licenses fast-running, robust, nonlinear engineering-level aerodynamic and simulation tools; these tools ground and compliment computational fluid dynamics (CFD) codes and wind tunnel tests using a fraction of the resources. The MISL3 and MISDL tools are used for aerodynamic analysis, design optimization, and large data base generation required for: flight simulations, control system development, and wind tunnel testing. The component forces/moments and load distributions are used by structural engineers for airframe design. STRLNCH is a specialized 6‑DOF simulation tool that characterizes the release of stores from aircraft and helicopters. Critical applications include safe weapons release/launch and jettison, external fuel tank release, bird strike and ice impact, and air-launch of larger vehicles including test rockets and satellite launch vehicles. The tools model important nonlinear phenomena associated with flight regimes from subsonic through supersonic Mach numbers and flight at high angles of attack including induced vortical effects. The tools were originally developed by Nielsen Engineering and Research (NEAR), who joined AMA in 2016 ( Download brochure


Scientific Computing: CEOS Open Data Cube

AMA has been instrumental in developing the CEOS Open Data Cube - an Open Source Data management platform for managing satellite data. The Committee on Earth Observation Satellites (CEOS) has long recognized a need for data processing infrastructure to support Earth science objectives in developing countries. Forest preservation initiatives, carbon measurement initiatives, water management and agricultural monitoring are just few examples of causes that can benefit greatly from remote sensing data. Currently, however, many developing nations lack the in-country expertise and computational infrastructure to utilize remote sensing data. The CEOS Open Data Cube Platform provides a flexible model to address these needs. The CEOS Data Cube Platform is a data processing platform for Earth science data, with a focus on remote-sensing data.

Exploration Visualization Environment

AMA's simulation software development team has led the development of NASA's Exploration Visualization Environment (EVE) since its inception.  EVE is a cross platform simulation, visualization, and analysis system designed to integrate engineering data with a virtual environment in support of the design and planning of aerospace missions. Through the integration of time dependent data with detailed graphical models within a full scale three-dimensional solar system or independent reference frame, an analyst can gain valuable insight into the correlation of data with simulation events by studying the data in the direct context of the mission.  EVE provides a rich set of navigation tools (both in time and space) and analysis capabilities to enable the user to analyze the data. EVE is available from NASA to support U.S. government contracts.  More information can be found at

Image Processes: Super Resolution Algorithm

The super resolution algorithm was designed under NASA’s Autonomous Landing and Hazard Avoidance Technology (ALHAT) project as a way of fusing multiple low-resolution images together into a much higher resolution image to increase the landing platforms situational awareness and position accuracy. The resolution increase of the final resulting Super-Resolution image is based on the number of lower resolution images used and the Signal-to-Noise ratio (S/N) of the original images. The S/N of the resulting image is also a function of the number of images used to produce it. The resolution improvement occurs in a linear fashion based on the number of images used. Since the images must have overlapping, but not exactly coincident pixels in the scene stack, it becomes necessary to accurately co-register images. The co-registration is done by minimizing the residual differences between two images until the residual corresponds with the S/N. This process accomplishes a co-registration accuracy on the order of 1/10 a pixel. This capability significantly increased the position and attitude accuracy of the vehicle when applied to optical navigation systems

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