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Dim target detection using high order correlation method

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dc.contributor.authorLiou, Ren-Jean, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:43:05Z
dc.date.available2007-01-03T04:43:05Z
dc.date.issued1993
dc.description.abstractThis paper presents a new method for clutter rejection and dim target track detection from infrared (IR) satellite data using neural networks. A high order correlation method is developed which recursively computes the spatio-temporal cross-correlations between data of several consecutive scans. The implementation of this scheme using a connectionist network is also presented. Several important properties of the high order correlation method are established which indicate that the resultant filtered images capture all the target information. The simulation results using this approach show at least 93% clutter rejection. Further improvement in the clutter rejection rate is achieved by modifying the high order correlation method to incorporate the target motion dynamics. The implementation of this modified high order correlation using a high order neural network architecture is demonstrated. The simulation results indicate at least 97% clutter rejection rate for this method. A comparison is also made between the methods developed here and the conventional frequency domain three-dimensional (3-D) filtering scheme, and the simulation results are provided.
dc.description.sponsorshipThis work was supported by IBM Corporation, Federal Sector Division, Boulder, CO 80301.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationLiou, Ren-Jean and Mahmood R. Azimi-Sadjadi, Dim Target Detection Using High Order Correlation Method, IEEE Transactions on Aerospace and Electronic Systems 29, no. 3 (July 1993): 841-856.
dc.identifier.urihttp://hdl.handle.net/10217/840
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1993 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectneural nets
dc.subjectclutter
dc.subjectcorrelation methods
dc.subjectdigital simulation
dc.subjectimage recognition
dc.subjectinfrared imaging
dc.subjectinterference suppression
dc.subjectsignal detection
dc.subjecttracking
dc.titleDim target detection using high order correlation method
dc.typeText

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