Visualization of improved target acquisition algorithm for Janus (A)
94Dec_Whitney.pdf (3.748Mb)Abstract
This thesis successfully demonstrates the ability to apply realistic visualization to a training application with a commercially available software program. It is increasingly important with the trend of decreasing military spending to maintain force readiness through quality training. Utilization of realistic visualization in simulations of realtime scenarios is essential to achieving this quality training. This thesis utilizes the Improved Target Acquisition Algorithm for Janus (A) in the visualization of sensor to moving target lines of sight. This visualization takes place in an obstruction constrained terrain using a representation of the higher resolution one meter style Pegasus database numbers.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
Related items
Showing items related by title, author, creator and subject.
-
Triage visualization for digital media exploitation
(Monterey, California: Naval Postgraduate School, 2013-09);Digital forensic examiners are overwhelmed by case loads and data volumes and must prioritize their work. This thesis hypothesis that digital forensic examiners can employ triage visualizations to prioritize work loads. ... -
Visualizing Flu Pandemics for Model Validation
(2013);This poster describes the design methodology and results for a pandemic visualization tool that was developed for validating a pandemic model. This work is the result of a collaboration between domain scientists, ... -
Applications and benefits for big data sets using tree distances and the t-SNE algorithm
(Monterey, California: Naval Postgraduate School, 2016-03);Modern data sets often consist of unstructured data and mixed data; that is, they include both numerical and categorical variables. Often, these data sets will include noise, redundancy, missing values and outliers. ...
