BRDF Analysis of LADAR-based Target Surface Characterization

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$99,998.00
Award Year:
2010
Program:
STTR
Phase:
Phase I
Contract:
W911NF-11-C-0014
Award Id:
94883
Agency Tracking Number:
A10A-006-0064
Solicitation Year:
n/a
Solicitation Topic Code:
ARMY 10T006
Solicitation Number:
n/a
Small Business Information
4 Fourth Avenue, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
047627732
Principal Investigator:
Xuemin Jin
Principal Scientist
(781) 273-4770
xjin@spectral.com
Business Contact:
Fritz Bien
President
(781) 273-4770
fritz@spectral.com
Research Institution:
University of California Irvine
Alexei A Maradudin
Department of Physics
Irvine, CA, 92697
(949) 824-5943
Nonprofit college or university
Abstract
LADAR light reflection from a target is highly dependent of the spectral reflectivity and texture properties of the surface. Such dependencies could be exploited for target recognition based on surface characterization with appropriate imaging conditions and processing algorithms. Target surface light reflection is characterized by the Bidirectional Reflectance Distribution Function (BRDF), which is embedded in LADAR reflected returns. We propose to develop an extended LADAR capability for characterizing and classifying surface material and texture by exploiting multispectral polarimetric LADAR signatures based on the BRDF. The key innovation in this proposal is the comprehensive unified application of waveband spectra, polarization, tomographic reconstruction, and material science to LADAR-based remote target classification. The proposed system incorporating these advances is called LADAR-based Surface Analysis by Reflectance (LASAR). Key features of LASAR include BRDF modeling, a database of target and ground materials, range profile simulation, and material inversion algorithms. The results from Phase I will be used to define real-time algorithms for remote target recognition applications in Phase II.

* information listed above is at the time of submission.

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