Feature Detection of Man-Made Objects Using Fractal Dimension

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$99,000.00
Award Year:
1996
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
32472
Agency Tracking Number:
32472
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
9131 Mason Avenue, Chatsworth, CA, 91311
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Ching-fang Lin
(818) 407-0092
Business Contact:
() -
Research Institute:
n/a
Abstract
This project is intended to purpose a fractal dimension based object detection approach for man-made objects in the ultra-wideband foliage-penetrating (FOPEN) synthetic aperture radar (SAR) imagery. Since man-made objects are significantly different from natural ones from the point of view of fractal dimension, fractal dimension estimates can be used to characterize images and distinguish man-made objects from natural ones efficiently. In this project, natural scene and man-made object modeling with fractal geometric techniques will be pursued with an in-depth investigation of various fractal dimension definitions and their applicability to background characterization and object detection. Wavelet transforms will be utilized as the computational tools. Fractal dimension estimation algorithms will be implemented and compared. An object detection software which implements the fractal-based object detection algorithms will also be developed. In Phase II, the validated algorithms will be implemented in the hardware environment and verified through the prototype system.

* information listed above is at the time of submission.

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