Persistent Link:
http://hdl.handle.net/10150/282500
Title:
Compression of synthetic aperture radar phase history data
Author:
Owens, James Webster, 1966-
Issue Date:
1997
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Synthetic aperture radars (SARs) are modern airborne or spaceborne high-resolution imaging systems used in target imaging and terrain mapping applications. SAR systems collect large volumes of complex phase history data that, in some systems, is downlinked to predetermined ground receiving stations for storage and/or subsequent processing. Considering the volume of data generated, SAR phase history data compression techniques are naturally of interest. In this dissertation, three complete SAR phase history data compression systems are presented. Two compression systems are based on trellis coded quantization and can be used to compress phase history data collected by a SAR system, independent of the SAR's mode of operation. The third compression system employs an optimal rate allocation strategy. It is designed specifically for spotlight mode SAR systems and utilizes the fundamental result that a complex image can be formed from spotlight mode SAR phase history data using a (windowed) two-dimensional FFT. Performance evaluations are presented for these compression systems relative to other existing SAR phase history data compression systems.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Marcellin, Michael W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleCompression of synthetic aperture radar phase history dataen_US
dc.creatorOwens, James Webster, 1966-en_US
dc.contributor.authorOwens, James Webster, 1966-en_US
dc.date.issued1997en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractSynthetic aperture radars (SARs) are modern airborne or spaceborne high-resolution imaging systems used in target imaging and terrain mapping applications. SAR systems collect large volumes of complex phase history data that, in some systems, is downlinked to predetermined ground receiving stations for storage and/or subsequent processing. Considering the volume of data generated, SAR phase history data compression techniques are naturally of interest. In this dissertation, three complete SAR phase history data compression systems are presented. Two compression systems are based on trellis coded quantization and can be used to compress phase history data collected by a SAR system, independent of the SAR's mode of operation. The third compression system employs an optimal rate allocation strategy. It is designed specifically for spotlight mode SAR systems and utilizes the fundamental result that a complex image can be formed from spotlight mode SAR phase history data using a (windowed) two-dimensional FFT. Performance evaluations are presented for these compression systems relative to other existing SAR phase history data compression systems.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMarcellin, Michael W.en_US
dc.identifier.proquest9814386en_US
dc.identifier.bibrecord.b37741998en_US
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