Truth Quest: Enabling Operational/Exercise Data

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-03-C-1432
Agency Tracking Number: 021SN-0056
Amount: $615,130.00
Phase: Phase II
Program: SBIR
Awards Year: 2003
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
910 Technology Blvd. Suite A, P. O. Box 1563, Bozeman, MT, 59771
Duns: 049451706
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Crabtree
 Director of Science
 (406) 556-9880
Business Contact
 Ron Cooper
Title: President
Phone: (406) 556-9880
Research Institution
The Phase II project will address enhancing ATR by developing techniques that use single and fused remotely sensed data sets to precisely characterize terrain environments, areas of potential trafficability, and areas of EOC clutter that can be ignored bythe ATR algorithms. These precision EOC identification and clutter-removal processes can be utilized as (1) a pre-ATR (terrain/ target potential or possible area) assessment and/or (2) a post-ATR refinement (change detection) process. The toolbox willconsist of multiple processing and analysis pathways suited to a variety a data sets and conditions. Data analysis will rely upon the use of spectral and spatial analysis. The analysis includes single image classification, fused classification, andsingle data type and fused data spectral/backscatter and spatial analysis techniques The process precisely discriminates and classifies fine scale landscape features. The use of spatially explicit techniques for classification and spatial patternidentification assists in (1) assess classification uncertainty; (2) quantification of expected rates for false negatives and false positives; (3) provides a probabilistic assessment of landscape features for both target and non-target classes. Theresult is a process to measure landscape features (characterize terrain) with a high level of precision and accuracy.

* information listed above is at the time of submission.

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