Intelligent Feature Extractor for Maritime Target (IFEMT)

Intelligent Feature Extractor for Maritime Target (IFEMT)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-18-C-0033
Agency Tracking Number: N181-029-0882
Amount: $125,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2018
Solicitation Year: 2018
Solicitation Topic Code: N181-029
Solicitation Number: 2018.1
Small Business Information
15400 Calhoun Drive, Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Satya Ponnaluri
 (301) 294-4248
 sponnaluri@i-a-i.com
Business Contact
 Mark James
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
There are needs to install automatic target recognition system on weapon system. In congested territory that includes enemy and friendly ships, it is essential for the missile to main target track with extremely low false alarm rate to minimize collateral damage. However, there are not many ATR systems transitions to weapon application as most developed ATR system are complex, computational expensive. In poor condition, where there is low return signal to high interference, ATR systems simply do not work.
To address this critical need, Intelligent Automation, Inc (IAI) proposes to develop an Intelligent Feature Extractor for Maritime Target (IFEMT) system based on deep learning. The key innovation of the proposed IFEMT system is the transfer-learning based approach adapting the existing deep convolutional neural networks (DCNN) e.g., GoogLeNet as feature extractor, a multi-class support vector machine (MC-SVM) classifier, and high fidelity physics-based synthetic ISAR data.

* Information listed above is at the time of submission. *

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