Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment

Citation
Z. Zalevsky et al., Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment, OPT ENG, 39(10), 2000, pp. 2609-2617
Citations number
9
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science","Optics & Acoustics
Journal title
OPTICAL ENGINEERING
ISSN journal
00913286 → ACNP
Volume
39
Issue
10
Year of publication
2000
Pages
2609 - 2617
Database
ISI
SICI code
0091-3286(200010)39:10<2609:CSPAFO>2.0.ZU;2-P
Abstract
A contrasted statistical processing approach to obtain improved probabiliti es of false alarm when performing automatic target detection is presented. The technique is based on analyzing each sector of the image and comparing it with surrounding windows in which the desired statistical property is ca lculated. The contrast of the statistical property is extracted using the p rediction or the prediction-correction equations. The contrast of the stati stical property is shown to be a good discriminator of the target from its background allowing the reduction of the detection threshold applied over t he stationary region while maintaining a constant false alarm probability. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00 )02110-3].