IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. 1998
DOI: 10.1109/igarss.1998.699533
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SAR focusing: scaled inverse Fourier transformation and chirp scaling

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Cited by 12 publications
(11 citation statements)
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“…For convenience, we ignore the first three terms in (19) which do not affect the focusing steps in the following and define R 1 (·) and R 2 (·) as the functions of closest slant ranges. For example, R 1 (τ R0 , R R0 ) and R 2 (R T0 , R R0 ) are given as…”
Section: Processing Approachmentioning
confidence: 99%
“…For convenience, we ignore the first three terms in (19) which do not affect the focusing steps in the following and define R 1 (·) and R 2 (·) as the functions of closest slant ranges. For example, R 1 (τ R0 , R R0 ) and R 2 (R T0 , R R0 ) are given as…”
Section: Processing Approachmentioning
confidence: 99%
“…The principle of ISFT is shown below [41]. As shown in Figure 5, assuming s(t)↔S(f ) is a Fourier transform pair, if the input frequency-domain signal is S(a · f), after ISFT implementation, the output time-domain signal will be 1 a j j ⋅s t ð Þ.…”
Section: Principle Of Isftmentioning
confidence: 99%
“…As shown in Figure 5, assuming s(t)↔S(f ) is a Fourier transform pair, if the input frequency-domain signal is S(a · f), after ISFT implementation, the output time-domain signal will be 1 a j j ⋅s t ð Þ. The digital implementation of ISFT can be found in [42].…”
Section: Principle Of Isftmentioning
confidence: 99%
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