1991
DOI: 10.1109/7.78293
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SAR data focusing using seismic migration techniques

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Cited by 608 publications
(264 citation statements)
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“…A precise method to achieve excellent accuracy in nearfield wide-band conditions is the so-called range migration algorithm (RMA), or ω-k [4,5]. The drawback of this technique is the introduction of an interpolation stage that implies a high computational cost and slows down the image generation.…”
Section: A Low Center-frequency-to-bandwidth Ratio or Quality Factormentioning
confidence: 99%
“…A precise method to achieve excellent accuracy in nearfield wide-band conditions is the so-called range migration algorithm (RMA), or ω-k [4,5]. The drawback of this technique is the introduction of an interpolation stage that implies a high computational cost and slows down the image generation.…”
Section: A Low Center-frequency-to-bandwidth Ratio or Quality Factormentioning
confidence: 99%
“…The Fω-k algorithm is currently used to operationally process spotlight CSK SAR data: it allows images that comply with processing time and quality requirements to be generated [Caltagirone et al, 2014]. As shown in Cafforio et al [1991], however, the ω-k algorithm provides an effective solution to the SAR inverse problem when the sensor trajectory is a straight line; satellite-borne sensors do not fit this scheme, and the application of migration techniques in such cases requires a careful analysis. The problem of focusing SAR data acquired along curved orbits has been studied in Cafforio et al [1991], Reighber et al [2006] and D'Aria and Monti-Guarnieri [2007].…”
Section: Introductionmentioning
confidence: 99%
“…Different frequency domain focusing algorithms have been proposed to obtain a good accuracy/ efficiency tradeoff. The most popular algorithms are the range-Doppler (RD) algorithm [Smith, 1991;Carrara et al, 1995;Schmidt, 2008], the chirp scaling (CS) algorithm [Papoulis, 1968;Raney, 1994;Carrara et al, 1995], and the "wavenumber domain" or "ω-k" algorithm [Rocca, 1987;Cafforio et al, 1991;Bamler, 1992;Carrara et al, 1995]. The ω-k algorithm, which was borrowed by geophysics [Rocca, 1987] and widely adopted by the SAR community [Bamler, 1992;Cumming and Wong, 2004;Reigber, 2006], provides the highest precision among the frequency-domain imaging algorithms, but it needs interpolation to implement Stolt mapping, which mainly determines the precision and efficiency of the algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…However, besides the requirement of the Chirp modulated signal, they usually fail to properly focuse the UWB/WB SAR data, even with much higher order terms of the Taylor expansion considered [15]. Therefore, the accurate frequency domain method, like ω-k algorithm [16][17][18] and its extended version [19], are still competitive alternatives to SAR imaging.…”
Section: Introductionmentioning
confidence: 99%