DocumentCode
427648
Title
Synthetic aperture radar visualization
Author
Moses, Randolph L. ; Ertin, Emre ; Austin, Christian
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Volume
1
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
13
Abstract
We investigate methods for two-dimensional and three-dimensional reconstruction of objects from radar backscatter measurements taken over wide angles. Radar backscattering is characterized by several variables: object location, complex amplitude, polarization and the aspect (azimuth and elevation) of the interrogating sensor. This high-dimensional data is typically projected into a two-dimensional image. As next-generation radar systems become increasingly capable, the assumptions and algorithms for traditional imaging need to be reconsidered. We propose new imaging techniques that accommodate limited persistence scattering on objects and use these techniques to develop two-dimensional and three-dimensional object reconstructions from wide-aperture radar measurements. Finally, we explore phase and polarization stability of scattering centers at the high resolutions afforded by wide-angle apertures.
Keywords
backscatter; image reconstruction; object detection; polarisation; radar imaging; radar resolution; sensors; synthetic aperture radar; complex amplitude; imaging technique; interrogating sensor; next-generation radar system; object location; polarization stability; radar backscatter measurement; radar resolution; synthetic wide-aperture radar visualization; three-dimensional object reconstruction; two-dimensional object reconstruction; Azimuth; Backscatter; Data visualization; High-resolution imaging; Image reconstruction; Polarization; Radar imaging; Radar measurements; Radar scattering; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399076
Filename
1399076
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