Two-Dimensional Imaging of Moving Targets in Sar Data

Werness, Susan A.; Stuff, Mark; Fienup, James R.

doi:10.1109/acssc.1990.523292

Cited by 19 publications

(8 citation statements)

References 7 publications

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“…These approaches are similarly efficient, though sometimes require multiple iterations and are robust to a wide range of phase errors. When faced with more erratic target motion, many algorithms 14,16,17 resort to parametric assumptions regarding target composition, particularly that it may be decomposed into a finite number of point returns. In this case, these returns may be detected and tracked in range-Doppler in order to infer the unknown target trajectory after the fact.…”

Section: Isar Imagingmentioning

confidence: 99%

SAR based classification of ground moving targets to assist vehicle tracking

2013

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Feature-aided tracking of targets in synthetic aperture radar is a topic of increasing interest. The aperture synthesized through the combination of target and platform motion facilitates the application of two-dimensional target recognition algorithms through noncooperative imaging of the target in question. Many non-parametric inverse synthetic aperture radar imaging techniques maximize image sharpness by estimating the phase error imposed by the unknown target motion. The resultant images can suffer from small unresolved phase errors and ambiguous cross range resolution. Downstream image exploitation algorithms must be robust to these effects. A set of civilian vehicles is investigated, which exacerbates image quality based ISAR algorithms due to their comparatively small radar cross section. This paper addresses the feasibility of peak-based classification of civilian targets moving through challenging tracking scenarios using ISAR images. Classifier performance is evaluated over a set of sensor, target, and environmental operating conditions through use of synthetically generated data.

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Section: Isar Imagingmentioning

confidence: 99%

SAR based classification of ground moving targets to assist vehicle tracking

2013

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“…The resulting image will be smeared. Translating target smearing is dealt with in the SAR case by deploying phase-compensation algorithms that use an estimate of the target's velocity to correct the quadratic phase errors that occur as a result of target motion [10,11]. Most of the phase errors generated by moving targets occur in the interpulse period [9]; thus CRRs, which usually model all target motion as interpulse phenomena and generate first-order and quadratic phase-error terms, can also be used to perform testing of phase-compensation algorithms.…”

Section: Isar Image Formation For Translating and Stationary Tarmentioning

confidence: 99%

Emulating Dynamic Target in Compact Radar Ranges. Part I: Theory

Hawkins

Silverstein

2009

IEEE Trans. Aerosp. Electron. Syst.

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Analytical expressions are developed that describe the artifacts encountered when translating, rotating, and vibrating point sources are imaged by compact radar ranges (CRRs) emulating airborne synthetic-aperture radar (SAR). The approach starts with coherent-aperture imaging basics and develops a general solution for imaging using the Born approximation. We show that moving-target artifacts on CRRs are similar to the artifacts encountered with SAR moving targets, suggesting that CRRs may be suitable for such emulations.

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“…In particular, Werness et al [32], Werness et al . [33] and Carrara et al . [34] focus targets with complicated rotation and translation motions by tracking individual bright scattering centres in the range profile data.…”

Section: Introductionmentioning

confidence: 99%

Theory of arbitrary rigid object motion autofocus for non‐uniform target rotation and translation

Garren

2020

IET Radar, Sonar & Navigation

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Two-Dimensional Imaging of Moving Targets in Sar Data

Cited by 19 publications

References 7 publications

SAR based classification of ground moving targets to assist vehicle tracking

SAR based classification of ground moving targets to assist vehicle tracking

Emulating Dynamic Target in Compact Radar Ranges. Part I: Theory

Theory of arbitrary rigid object motion autofocus for non‐uniform target rotation and translation

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