Advanced Signature-Matched Hyperspectral Change Detection

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-07-M-1168
Award Id:
82208
Agency Tracking Number:
F071-235-0495
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
9782 Country Creek Way, Dayton, OH, 45458
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
134123475
Principal Investigator:
WilliamMcCormick
Senior Scientist
(937) 422-7504
william.mccormick@wright.edu
Business Contact:
ArnabShaw
President and Tech Lead
(937) 885-9767
gitam13@yahoo.com
Research Institute:
n/a
Abstract
Gitam Technologies Inc. (GTI) in collaboration with Professor John Kerekes of Rochester Institute of Technology, propose to kernelize the Covariance Equalized Change Detection algorithm for Hyperspectral imagery. The primary focus will be to develop signature-based change detection with the capability to locate particular signatures in an observation scene, where prior knowledge about the target or the background is available from previous pass. Over the past decade, Kernel-based learning concepts have established as a powerful optimization tool when gaussian and linearity assumptions are invalid. In kernel-based methods, learning is implicitly performed in a high-dimensional feature space where high order correlation or nonlinearity within the data is exploited. The kernel concept has seen vast applications in wide variety of detection and recognition problems, including traditional detection and classification, change detection and anomaly change detection. However, although Covariance Equalized Change Detection (CECD) has seen several useful applications, the CECD concept has not been formalized within the Kernel framework. Hence, the main goal of this project is to study the effectiveness of the entire class of Kernels for CECD for HSI data. The Kernelization approach will be initially applied to the chronochrome algorithm and the covariance equalization algorithm both with and without matched filtering.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government