USA flag logo/image

An Official Website of the United States Government

Automated Techniques for Extracting Four Dimensional Space-Time Data from…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67395
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-005-1760
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Stellar Science Ltd Co
6565 Americas Parkway NE, Suite 725 Albuquerque, NM 87110-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Automated Techniques for Extracting Four Dimensional Space-Time Data from Ground-Based Imagery of Space Objects
Agency / Branch: DOD / USAF
Contract: FA9451-04-M-0077
Award Amount: $99,947.00
 

Abstract:

This project will develop techniques for processing sequences of images of a space object, taken from ground-based telescopes, to create a three dimensional model of the object and to calculate the object's attitude motion as a function time. This Shape from Motion problem has been studied since the 1980's, but the approaches have not been subject to rigorous performance testing, and the algorithms typically assume much higher image clarity and spatial resolution than ground-based space surveillance systems can deliver. First, we will create a prototype system that applies the most promising of the current shape from motion techniques, and evaluate its strengths, limitations, and feasibility using simulated and real imagery of space objects. This system will be delivered as a working tool for research and special mission analyses. Second, we will examine novel approaches to the shape from motion problem that are tailored to the characteristics of the space surveillance problem. One approach integrates feature identification with feature tracking to efficiently accommodate noisy data and features that move in and out of view. Another replaces the point cloud representation of object shape with a meshed surface or a set of voxels, making results more useful to other analysis tools.

Principal Investigator:

Conrad J. Poelman
Chief Scientist
5054532713
cpdodsbir@stellarscience.com

Business Contact:

Conrad J. Poelman
Owner
5054532713
cpdodsbir@stellarscience.com
Small Business Information at Submission:

STELLAR SCIENCE LTD.CO
401 Serenity Ct SE Albuquerque, NM 87123

EIN/Tax ID: 850462062
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No