USA flag logo/image

An Official Website of the United States Government

Morphology/Fractal-Based Techniques for Automatic Target Discriminatio

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
19916
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
19916
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATLANTIC AEROSPACE ELECTRONICS CORP.
6404 Ivy Lane, Suite 300 Greenbelt, MD 20770
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: Morphology/Fractal-Based Techniques for Automatic Target Discriminatio
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $54,787.00
 

Abstract:

This proposal describes an innovative approach to the detection and discrimination of targets in multi-sensor airborne platforms. The major advantages of our process are: 1) substantial performance gains; 2) the use of a common architecture for multi-sensor platforms; and 3) the need for less hardware for real-time implementation than current state-of-the-art techniques. Our proposed target detection and discrimination process combines two key technologies - morphological signal processing and fractal analysis. We will use geometric constraints (shape) as a first order filter for discriminating man-made objects from the natural cluttered background. This will be followed by a second step of processing (false alarm reduction and detection prioritization) which will exploit the difference in the fractal behavior of natural clutter vs. man-made objects. Both stages of the algorithm will be implemented using non-linear morphological filters, which require many fewer numerical operations than conventional signal processing algorithms. As a result we will achieve high computational efficiency and increased processing speed. For Phase I demonstration we will focus on one aspect of the Theater Missile Defense scenario. This approach offers a fast, low-cost, low-power common hardware implementation for the detection and discrimination of targets in multi-sensor data.

Principal Investigator:

Tamar Peli
6178904200

Business Contact:

Small Business Information at Submission:

Atlantic Aerospace
470 Totten Pond Rd. Waltham, MA 02154

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