The Resource Compressive sensing for 3D microwave imaging systems, by Hamed Kajbaf, (electronic resource)

Compressive sensing for 3D microwave imaging systems, by Hamed Kajbaf, (electronic resource)

Label
Compressive sensing for 3D microwave imaging systems
Title
Compressive sensing for 3D microwave imaging systems
Statement of responsibility
by Hamed Kajbaf
Title variation
  • Compressive sensing for 3 dimensional microwave imaging systems
  • Compressive sensing for three dimensional microwave imaging systems
Creator
Subject
Genre
Language
eng
Summary
"Compressed sensing (CS) image reconstruction techniques are developed and experimentally implemented for wideband microwave synthetic aperture radar (SAR) imaging systems with applications to nondestructive testing and evaluation. These techniques significantly reduce the number of spatial measurement points and, consequently, the acquisition time by sampling at a level lower than the Nyquist-Shannon rate. Benefiting from a reduced number of samples, this work successfully implemented two scanning procedures: the nonuniform raster and the optimum path. Three CS reconstruction approaches are also proposed for the wideband microwave SAR-based imaging systems. The first approach reconstructs a full-set of raw data from undersampled measurements via L1-norm optimization and consequently applies 3D forward SAR on the reconstructed raw data. The second proposed approach employs forward SAR and reverse SAR (R-SAR) transforms in each L1-norm optimization iteration reconstructing images directly. This dissertation proposes a simple, elegant truncation repair method to combat the truncation error which is a critical obstacle to the convergence of the CS iterative algorithm. The third proposed CS reconstruction algorithm is the adaptive basis selection (ABS) compressed sensing. Rather than a fixed sparsifying basis, the proposed ABS method adaptively selects the best basis from a set of bases in each iteration of the L1-norm optimization according to a proposed decision metric that is derived from the sparsity of the image and the coherence between the measurement and sparsifying matrices. The results of several experiments indicate that the proposed algorithms recover 2D and 3D SAR images with only 20% of the spatial points and reduce the acquisition time by up to 66% of that of conventional methods while maintaining or improving the quality of the SAR images"--Abstract, p. iv
Related
Cataloging source
UMR
http://library.link/vocab/creatorName
Kajbaf, Hamed
Degree
Ph. D.
Dissertation year
2012.
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • theses
http://library.link/vocab/subjectName
  • Signal processing
  • Microwave imaging
  • Sparse matrices
  • Synthetic aperture radar
Target audience
specialized
Label
Compressive sensing for 3D microwave imaging systems, by Hamed Kajbaf, (electronic resource)
Instantiates
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed November 14, 2012)
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
817948824
Dimensions
unknown
Extent
1 online resource (xii, 120 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)817948824
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web
Label
Compressive sensing for 3D microwave imaging systems, by Hamed Kajbaf, (electronic resource)
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed November 14, 2012)
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
817948824
Dimensions
unknown
Extent
1 online resource (xii, 120 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)817948824
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web

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