DocumentCode
315146
Title
Non-iterative spotlight SAR autofocusing using a modified phase-gradient approach
Author
Lim, Chan Hian ; Soon, Yeo Tat
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
1
fYear
1997
fDate
3-8 Aug 1997
Firstpage
484
Abstract
The phase-gradient autofocus (PGA) technique is robust over a wide range of imagery and phase error functions but the convergence usually requires 4-6 iterations. The authors propose to speed up the estimation convergence by selectively increasing the pool of quality synchronisation sources and not to be limited by the range pixels of the SAR map. This is highly probable since each range bin contains more than 1 prominent scatterers across the integration aperture. It is also highly probable that the least brightest selected scatterer in a range gate may turn out to be of higher energy as compared to the maximum brightest scatterer of another gate. With appropriate target filtering to finally select the quality scatterers out of the large pool and higher-order phase error measurement tool, the new algorithm achieves near convergence quality without iteration. The authors named this solution the Quality PGA algorithm (QPGA)
Keywords
geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; QPGA; Quality PGA algorithm; convergence; geophysical measurement technique; image processing; land surface; least brightest selected scatterer; maximum brightest scatterer; modified phase-gradient approach; noniterative spotlight SAR autofocusing; phase error functions; phase-gradient autofocus; quality synchronisation source; radar imaging; radar remote sensing; range gate; synthetic aperture radar; target filtering; terrain mapping; Azimuth; Convergence; Electronics packaging; Focusing; Image quality; Phase estimation; Phase measurement; Radar scattering; Radar signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.615922
Filename
615922
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