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A High Performance Imaging and Target Discrimination System Using SAR and ISAR

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
85178
Program Year/Program:
2008 / STTR
Agency Tracking Number:
N08A-024-0069
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SIGNAL PROCESSING, INC.
9700 Great Seneca Highway Rockville, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: A High Performance Imaging and Target Discrimination System Using SAR and ISAR
Agency / Branch: DOD / NAVY
Contract: N00014-08-M-0280
Award Amount: $70,000.00
 

Abstract:

We propose a high performance, automated, and novel framework to behind-the-wall imaging and target discrimination. Our system has two paths: 1) stationary target detection using SAR images; 2) moving target detection using ISAR images. For the SAR imaging part, we first propose to apply high performance algorithm to form SAR images. Second, since feature extraction is the key component for a successful target discrimination system, we propose 4 different classes of features: 1) invariant moments; 2) low order Gaussian features based on Principal Component Analysis (PCA); 3) high order non-Gaussian features based on Independent Component Analysis (ICA); 4) shape features based on Fourier descriptors. Third, after features are extracted, we propose to apply proven and efficient classifier to classify the different targets. The robust classifier we use is called Support Vector Machine (SVM) that has several advantages, including no over training problem, global optimal solution, and computational efficiency. In the ISAR part, we have ISAR image formation algorithm, followed by a chirplet separation algorithm to separate different motions. After ISAR images are formed, the feature extraction and classification algorithms mentioned earlier will be applied for target discrimination. All the images and classification results will be displayed on a monitor.

Principal Investigator:

Chiman Kwan
Chief Technology Officer
2405052641
chiman.kwan@signalpro.net

Business Contact:

Chihwa Yung
President
3013152322
chihwa.yung@signalpro.net
Small Business Information at Submission:

SIGNAL PROCESSING, INC.
13619 Valley Oak Circle ROCKVILLE, MD 20850

EIN/Tax ID: 134320631
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
U. TEXAS PAN AMERICAN
1201 West University Drive
Edinburg, TX 78541-2999
Contact: Junfei Li
Contact Phone: (956) 381-2609
RI Type: Nonprofit college or university