USA flag logo/image

An Official Website of the United States Government

Model-Based Object Identification & Multisensor Fusion of Images of Satellites

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
20012
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
20012
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
APPLIED SCIENCES LABORATORY, INC.
P.O. Box 21158 Albuquerque, NM 87154 0115
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: Model-Based Object Identification & Multisensor Fusion of Images of Satellites
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $49,939.00
 

Abstract:

An approach is presented to solve both the data fusioin problem, and the space object model building requirement for the Air Force Phillips Laboratory. Artificial neural network (ANN) technology provides a number of tools that form the basis of this proposal and the foundtion for the solution to the real-time data fusion problem. ANNs are a proven technology that offer a powerful, naturally parallel computational technique for highly distributed processing. The need is for procedures that can readily adapt to additional target classes, new sensors and widely variable viewing environments. Finally, effective target identification and characteization is greatly enhanced if a priori knowledge about the target is integrated into the data processing. A model-based process is presented to update and enhance the spectral properties, thermal condition, orientation, and the spacecraft's geometric configuration. A model-based fusion process based on feature extraction using a neocognitron neural network will be developed to integrate spatial and spectral data nad create or update a three-dimensional satellite model. The fusion process will specifically accommodate wide band radar (Inverse Synthetic Aperture Radar-ISAR), visible, and infrared wavelength imagery and signature information of low Earth orbiting satellites. The final high fidelity satellite model will be protable through the International Graphics Exchange Standard (IGES).

Principal Investigator:

Dr. Peter Soliz
5058281848

Business Contact:

Small Business Information at Submission:

Applied Sciences Laboratory
Post Office Box 21158 Albuquerque, NM 87109

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