Virtual Tutor: Using Active Worlds to Impact History Learning Outcomes

Not Available Dynamics Technology, Inc. (DTI) will develop an improved parametric statistical model of SAR and/or LADAR range image clutter to support development and performance characterization of ATR algorithms. The model will account for both the large-scale occurrence statistics and the local spatial structure of clutter objects. Model development will emphasize correct geometric scaling properties with sensor resolution as well as support for additional sensor characteristics such as polarization and frequency (for SAR clutter). An prototype algorithm for estimating cutter model parameters from SAR and/or LADAR imagery will be developed and implemented as part of the effort. The algorithm will be applied to actual clutter imagery, and synthetic imagery will be generted based on the estimated clutter parameter values. The synthetic imagery may be made available or testing with working ATR algorithms. In Phase I, we will: (1) survey parametric statistical models and identify an initial candidate clutter model (2) develop an algorithm for estimating clutter model parameters from data, (3) implement the parameter estimation algorithm, generate synthetic clutter imagery, and test this imagery in a working ATR algorithm, and (4) define requirements for further development and implementation in Phase II.