Date of Award


Degree Type


University or Center

Clark Atlanta University(CAU)

Degree Name




First Advisor

Dr. Romain Murenzi


Two dimensional continuous wavelet transforms have been used to study a wide variety of physical problems especially in the analysis of images. They are used in this particular application for the detection of discontinuities, which include edges, filaments, contours and boundaries between areas of different luminosity.

In this study we investigate the use of a continuous wavelet transform partial energy density as a features detector in developing an algorithm for classification of targets in forward looking infrared imagery. Our algorithm specifically uses features that result from computing the partial energy densities of targets at all relevant scales and orientations and classification of those targets using a distance based classifier.

We have found in our analysis that the partial energy density can extract target features that result in an overall improvement in classification in our algorithm.

Signature Location_Supplemental file.pdf (45 kB)
Notice to Users, Transmittal and Statement of Understanding

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Physics Commons