SBIR-STTR Award

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Application of Wavelet Transform, Fractal Theory, and Statistics to Automatic Target Recognition Using L
Award last edited on: 2/27/02

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$99,636
Award Phase
1
Solicitation Topic Code
AF97-208
Principal Investigator
Gordon Okimoto

Company Information

ADAR (AKA: Orincon-Hawaii)

970 North Kalaheo Avenue Suite C-215
Kailua, HI 96734
   N/A
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Location: Single
Congr. District: 02
County: Honolulu

Phase I

Contract Number: F08630-97-C-0056
Start Date: 3/7/97    Completed: 12/6/97
Phase I year
1997
Phase I Amount
$99,636
ORINCON proposes to investigate the application of the wavelet transform, fractal analysis, and statistical measures of texture to automatic target identification (ATI) for laser radar (ladar). We intend to use multiscale edge analysis (MEA) based on the wavelet transform to decompose a ladar intensity image into an "edge" component and a complementary "texture" component. The boundary information captured in the MEA edge component will be used to detect and classify objects in ladar intensity images. The textural information captured in the MEA texture image will be analyzed using fractal and statistical methods to further enhance object detection and classification. Neural networks will be used to evaluate the effectiveness of combining edge, fractal, and statistical features for ladar ATI. A database of ladar intensity images together with extracted features will be compiled. Multifeature data fusion strategies for combining edge, fractal, statistical, and range images will be investigated.

Keywords:
Fractals Wavelets Statistics Laser Radar Image Analysis Neural Networks Multifeature Data Fusion Aut

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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