Gabor jets for clutter rejection in infrared imagery / Mark Wellman and Nasser Nasrabadi.

Format:

Book

Government document

Author/Creator:

Wellman, Mark

Contributor:

Nasrabadi, Nasser M.

U.S. Army Research Laboratory

Series:

ARL-TR (Aberdeen Proving Ground, Md.) ; 3400.

ARL-TR ; 3400

Language:

English

Subjects (All):

Target acquisition.

Infrared imaging.

Physical Description:

1 online resource (iv, 14 pages) : illustrations (some color)

Place of Publication:

Adelphi, MD : Army Research Laboratory, [2004]

Summary:

The performance of an infrared imagery based (IR) automatic target detection algorithm suffers from several variables. The target size, shape, orientation and brightness play a role, as well as the cluttered backgrounds [1-5], which often exhibit greater intensity than the sensor noise or intensity of the targets to be detected. Once the detection process is finished and further decisions pending in the ATR system, one would like a simple technique to further reduce false alarms. The problem again, is one of recognition and past research has shown that joint spatial-frequency representations using Gabor schemes is beneficial in many automated, computer vision applications. We will present results using Gabor Jets together with a back propagation neural network for a detector post processing procedure, which could substantially reduce false alarms.

Notes:

Title from PDF title screen (viewed on August 10, 2010).

"December 2004."

Includes bibliographical references (pages 10-11).

OCLC:

318692349

Access Restriction:

Approved for public release.