1997 IEEE Aerospace Conference 1997
DOI: 10.1109/aero.1997.577634
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Space-based bistatic GMTI using low resolution SAR

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Cited by 28 publications
(15 citation statements)
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“…DiPietro et al [17] have investigated the use of a matched filtering technique for detecting moving targets in long-dwell SAR. Barbarossa et al [18][19][20] have developed methods for detecting and focusing moving targets in SAR imagery based upon the use of the Wigner-Ville distribution and maximum-likelihood theory.…”
Section: Introductionmentioning
confidence: 99%
“…DiPietro et al [17] have investigated the use of a matched filtering technique for detecting moving targets in long-dwell SAR. Barbarossa et al [18][19][20] have developed methods for detecting and focusing moving targets in SAR imagery based upon the use of the Wigner-Ville distribution and maximum-likelihood theory.…”
Section: Introductionmentioning
confidence: 99%
“…14(b). This result provides another example of the strong effects of acceleration on signature morphology, as perpetrated through the relatively large value of κ 0 via the κ 0 w 0 cos(φ 0 ) tanh(ψ(τ s )) term in (26) for y(τ s ). Fig.…”
Section: Hyperbolic Tangent Speed Targetsmentioning
confidence: 86%
“…The general properties of moving target signatures in SAR imagery have been developed by a number of researchers [10]- [13]. Some researchers have developed specific methods for detecting and refocusing the smears resulting from moving targets [14]- [26] and for estimating their motion parameters [27]- [32]. Jao [33] revealed that moving targets give curved signatures in SAR imagery, which are related to range migration effects [34], [35].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, a number of researchers [1][2][3][4] investigate the general features of mover smears. Other researchers [5][6][7][8][9][10][11][12][13][14][15][16][17] examine the detection and focusing of moving target signatures. Additional researchers [18][19][20][21][22][23] analyze techniques for improving the detection and estimation of moving targets in SAR imagery.…”
Section: Introductionmentioning
confidence: 99%