Automatic target recognition during sensor motion and vibration

Ofer Hadar, A. Kuntsevitsky, M. Wasserblat, Norman S. Kopeika, Stanley R. Rotman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The resolution capability of imaging systems is effected by a blurring effect due to the vibration and motion recorded in the image. This disturbance is often more severe than electronic and optical limitations inherent in the system. This fact must be considered when dealing with the development and analysis of automatic target recognition (ATR) systems for military applications. The aim of this research is to analyze the influence of image vibrations and motion upon the probability of acquiring the target with an ATR system. The analysis includes factors that characterize the relationship existing between the target and its background. A high level of correlation is expected between these factors and the probability of target detection, enabling efficient performance in the prediction and evaluation of any ATR system. The results of this research can be implemented in military applications as well as in developing image restoration procedures for image-blur conditions.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsFirooz A. Sadjadi
Pages326-336
Number of pages11
StatePublished - 1 Dec 1994
EventAutomatic Object Recognition IV - Orlando, FL, USA
Duration: 6 Apr 19947 Apr 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2234
ISSN (Print)0277-786X

Conference

ConferenceAutomatic Object Recognition IV
CityOrlando, FL, USA
Period6/04/947/04/94

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