DocumentCode :
1300814
Title :
An Autofocus Method for Backprojection Imagery in Synthetic Aperture Radar
Author :
Ash, Joshua N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Volume :
9
Issue :
1
fYear :
2012
Firstpage :
104
Lastpage :
108
Abstract :
In this letter, we present an autofocus routine for backprojection imagery from spotlight-mode synthetic aperture radar data. The approach is based on maximizing image sharpness and supports the flexible collection and imaging geometries of BP, including wide-angle apertures and the ability to image directly onto a digital elevation map. While image-quality-based autofocus approaches can be computationally intensive, in the backprojection setting, we demonstrate a natural geometric interpretation that allows for optimal single-pulse phase corrections to be derived in closed form as the solution of a quartic polynomial. The approach is applicable to focusing standard backprojection imagery, as well as providing incremental focusing in sequential imaging applications based on autoregressive backprojection. An example demonstrates the efficacy of the approach applied to real data for a wide-aperture backprojection image.
Keywords :
autoregressive processes; convolution; digital elevation models; geophysical image processing; geophysical techniques; radar imaging; synthetic aperture radar; autofocus method; autofocus routine; autoregressive backprojection; backprojection imagery; convolution backprojection; digital elevation map; image sharpness; image-quality-based autofocus approach; imaging geometry; natural geometric interpretation; optimal single-pulse phase correction; quartic polynomial; sequential imaging application; spotlight-mode synthetic aperture radar data; wide-angle aperture; Apertures; Azimuth; History; Imaging; Measurement; Optimization; Synthetic aperture radar; Autofocus; autoregressive backprojection (ARBP); convolution BP (CBP) imaging; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2011.2161456
Filename :
5989842
Link To Document :
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